{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0b7f4740-ec06-4e24-bf48-20ede1e33bcd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-01T13:12:39.457171Z",
     "iopub.status.busy": "2024-06-01T13:12:39.456670Z",
     "iopub.status.idle": "2024-06-01T13:12:41.523839Z",
     "shell.execute_reply": "2024-06-01T13:12:41.523378Z",
     "shell.execute_reply.started": "2024-06-01T13:12:39.457155Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cloning into 'VAE_experiment'...\n",
      "remote: Enumerating objects: 231, done.\u001b[K\n",
      "remote: Counting objects: 100% (111/111), done.\u001b[K\n",
      "remote: Compressing objects: 100% (54/54), done.\u001b[K\n",
      "remote: Total 231 (delta 64), reused 102 (delta 57), pack-reused 120\u001b[K\n",
      "Receiving objects: 100% (231/231), 93.77 KiB | 252.00 KiB/s, done.\n",
      "Resolving deltas: 100% (111/111), done.\n"
     ]
    }
   ],
   "source": [
    "!git clone https://github.com/hpjang/VAE_experiment.git"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a4e0fb67-7dd6-4f62-afad-28bf3bdad376",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-01T13:12:48.963389Z",
     "iopub.status.busy": "2024-06-01T13:12:48.963114Z",
     "iopub.status.idle": "2024-06-01T13:13:38.352706Z",
     "shell.execute_reply": "2024-06-01T13:13:38.352224Z",
     "shell.execute_reply.started": "2024-06-01T13:12:48.963371Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://mirrors.cloud.aliyuncs.com/pypi/simple\n",
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      "Collecting pyworld\n",
      "  Downloading https://mirrors.cloud.aliyuncs.com/pypi/packages/1f/a0/94bef26b6e270cf8a0c795c906fcb6dddf6095b48f390b4729185d7c1eeb/pyworld-0.3.4.tar.gz (251 kB)\n",
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      "\u001b[?25h  Installing build dependencies ... \u001b[?25ldone\n",
      "\u001b[?25h  Getting requirements to build wheel ... \u001b[?25ldone\n",
      "\u001b[?25h  Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n",
      "\u001b[?25hCollecting pysptk\n",
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      "\u001b[?25h  Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n",
      "\u001b[?25hCollecting h5py\n",
      "  Downloading https://mirrors.cloud.aliyuncs.com/pypi/packages/af/26/f231ee425c8df93c1abbead3d90ea4a5ff3d6aa49e0edfd3b4c017e74844/h5py-3.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.4 MB)\n",
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      "Collecting audioread>=2.1.9 (from librosa)\n",
      "  Downloading https://mirrors.cloud.aliyuncs.com/pypi/packages/57/8d/30aa32745af16af0a9a650115fbe81bde7c610ed5c21b381fca0196f3a7f/audioread-3.0.1-py3-none-any.whl (23 kB)\n",
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      "  Downloading https://mirrors.cloud.aliyuncs.com/pypi/packages/c1/07/7591f4efd29e65071c3a61b53725036ea8f73366a4920a481ebddaf8d0ca/soundfile-0.12.1-py2.py3-none-manylinux_2_31_x86_64.whl (1.2 MB)\n",
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      "  Downloading https://mirrors.cloud.aliyuncs.com/pypi/packages/a4/1f/300788b5eab99aec872ed2f3647386d7d7f7bbf4f99c91e9e023b404ff7f/llvmlite-0.42.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.8 MB)\n",
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      "Requirement already satisfied: certifi>=2017.4.17 in /home/pai/lib/python3.11/site-packages (from requests>=2.19.0->pooch>=1.1->librosa) (2023.11.17)\n",
      "Building wheels for collected packages: pyworld, pysptk, fastdtw\n",
      "  Building wheel for pyworld (pyproject.toml) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for pyworld: filename=pyworld-0.3.4-cp311-cp311-linux_x86_64.whl size=203008 sha256=58ea6691e6784492842e73c3498e0fa69266fe05180938d02094a32dd739a19e\n",
      "  Stored in directory: /root/.cache/pip/wheels/2f/56/5b/dd3517d8a4d5579b61e76a59fa65e6c408949e8d183200621a\n",
      "  Building wheel for pysptk (pyproject.toml) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for pysptk: filename=pysptk-0.2.2-cp311-cp311-linux_x86_64.whl size=392874 sha256=97970405e2cdc180b30206cb0acbc5c1fd8136ef6899d9a25df9148db951f143\n",
      "  Stored in directory: /root/.cache/pip/wheels/03/38/f2/a60e9e6dab9379d7f554f0d71b55375b16097d4fcf159eaedb\n",
      "  Building wheel for fastdtw (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for fastdtw: filename=fastdtw-0.3.4-cp311-cp311-linux_x86_64.whl size=110183 sha256=20084bc05a4947193fd65d74acee7a87ee4c8ca0f3342e1fd2b7c8d62df17d4b\n",
      "  Stored in directory: /root/.cache/pip/wheels/d7/9f/0f/0360d245d5a9e8e41664c7c9d17b5be71a16d80f5f3cfc5080\n",
      "Successfully built pyworld pysptk fastdtw\n",
      "Installing collected packages: soxr, pyworld, msgpack, llvmlite, lazy-loader, kaldi-io, h5py, fastdtw, audioread, soundfile, pysptk, pooch, numba, librosa\n",
      "Successfully installed audioread-3.0.1 fastdtw-0.3.4 h5py-3.11.0 kaldi-io-0.9.8 lazy-loader-0.4 librosa-0.10.2.post1 llvmlite-0.42.0 msgpack-1.0.8 numba-0.59.1 pooch-1.8.1 pysptk-0.2.2 pyworld-0.3.4 soundfile-0.12.1 soxr-0.3.7\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
      "\u001b[0mNote: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    " pip install torch pyworld pysptk h5py numpy kaldi-io librosa scipy scikit-learn fastdtw "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "42b1ed88-4b06-484a-897e-c2a834031dcd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-02T04:35:09.067388Z",
     "iopub.status.busy": "2024-06-02T04:35:09.067155Z",
     "iopub.status.idle": "2024-06-02T04:35:09.071234Z",
     "shell.execute_reply": "2024-06-02T04:35:09.070885Z",
     "shell.execute_reply.started": "2024-06-02T04:35:09.067372Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/mnt/workspace/VAE_experiment\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/pai/lib/python3.11/site-packages/IPython/core/magics/osm.py:417: UserWarning: using dhist requires you to install the `pickleshare` library.\n",
      "  self.shell.db['dhist'] = compress_dhist(dhist)[-100:]\n"
     ]
    }
   ],
   "source": [
    "cd VAE_experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cd6f1dec-01ca-4622-9c60-7843aa73329b",
   "metadata": {
    "ExecutionIndicator": {
     "show": true
    },
    "execution": {
     "iopub.execute_input": "2024-06-02T04:35:10.587560Z",
     "iopub.status.busy": "2024-06-02T04:35:10.587310Z",
     "iopub.status.idle": "2024-06-02T04:35:10.590514Z",
     "shell.execute_reply": "2024-06-02T04:35:10.590185Z",
     "shell.execute_reply.started": "2024-06-02T04:35:10.587544Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/mnt/workspace/VAE_experiment'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d23ad58f-a12c-4c95-9ea6-7bec79e49130",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-01T13:18:09.975120Z",
     "iopub.status.busy": "2024-06-01T13:18:09.974840Z",
     "iopub.status.idle": "2024-06-01T13:18:11.787789Z",
     "shell.execute_reply": "2024-06-01T13:18:11.787313Z",
     "shell.execute_reply.started": "2024-06-01T13:18:09.975102Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Archive:  corpus.zip\n",
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      " extracting: corpus/train/Transcriptions/HUB/10013.txt  \n",
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      " extracting: corpus/train/Transcriptions/HUB/10016.txt  \n",
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      " extracting: corpus/train/Transcriptions/HUB/10018.txt  \n",
      " extracting: corpus/train/Transcriptions/HUB/10019.txt  \n",
      " extracting: corpus/train/Transcriptions/HUB/10020.txt  \n",
      " extracting: corpus/train/Transcriptions/HUB/10021.txt  \n",
      " extracting: corpus/train/Transcriptions/HUB/10022.txt  \n",
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      " extracting: corpus/train/Transcriptions/HUB/10025.txt  \n",
      " extracting: corpus/train/Transcriptions/HUB/10026.txt  \n",
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      " extracting: corpus/train/Transcriptions/HUB/10029.txt  \n",
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      " extracting: corpus/train/Transcriptions/HUB/10033.txt  \n",
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      " extracting: corpus/train/Transcriptions/HUB/10042.txt  \n",
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      " extracting: corpus/train/Transcriptions/HUB/10048.txt  \n",
      " extracting: corpus/train/Transcriptions/HUB/10049.txt  \n",
      " extracting: corpus/train/Transcriptions/HUB/10050.txt  \n",
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      " extracting: corpus/train/Transcriptions/HUB/10055.txt  \n",
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      " extracting: corpus/train/Transcriptions/HUB/10060.txt  \n",
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      " extracting: corpus/train/Transcriptions/HUB/10080.txt  \n",
      " extracting: corpus/train/Transcriptions/HUB/10081.txt  \n",
      "   creating: corpus/train/Transcriptions/SPOKE/\n",
      " extracting: corpus/train/Transcriptions/SPOKE/20001.txt  \n",
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      " extracting: corpus/train/Transcriptions/SPOKE/20004.txt  \n",
      " extracting: corpus/train/Transcriptions/SPOKE/20005.txt  \n",
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      " extracting: corpus/train/Transcriptions/SPOKE/20010.txt  \n",
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      " extracting: corpus/train/Transcriptions/SPOKE/20015.txt  \n",
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      " extracting: corpus/train/Transcriptions/SPOKE/20027.txt  \n",
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     ]
    }
   ],
   "source": [
    "!unzip corpus.zip"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95e58a69-4a2d-44c5-9ce6-fa91030108d6",
   "metadata": {},
   "source": [
    "# 预处理脚本：-> 特征.p 文件 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4c157e40-df0e-40b7-8af0-15a947068821",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-01T13:20:05.708189Z",
     "iopub.status.busy": "2024-06-01T13:20:05.707923Z",
     "iopub.status.idle": "2024-06-01T13:20:05.710618Z",
     "shell.execute_reply": "2024-06-01T13:20:05.710192Z",
     "shell.execute_reply.started": "2024-06-01T13:20:05.708168Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 运行预处理脚本\n",
    "\n",
    "import time\n",
    "\n",
    "# 记录开始时间\n",
    "start_time = time.time()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2113ab31-1fb4-46dd-80c5-4edc43b37a9a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-01T13:20:06.044195Z",
     "iopub.status.busy": "2024-06-01T13:20:06.043930Z",
     "iopub.status.idle": "2024-06-01T13:27:36.528576Z",
     "shell.execute_reply": "2024-06-01T13:27:36.528101Z",
     "shell.execute_reply.started": "2024-06-01T13:20:06.044179Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Preprocessing Done.\n",
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      "Saving VCC2SF2 data to test... \n",
      "Preprocessing Done.\n",
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      "Saving VCC2SM1 data to train... \n",
      "Loading VCC2SM1 Wavs...\n",
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      "Saving VCC2SM1 data to test... \n",
      "Preprocessing Done.\n",
      "Loading VCC2SM2 Wavs...\n",
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      "Processing 10064\n",
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      "Processing 10046\n",
      "Saving VCC2SM2 data to train... \n",
      "Loading VCC2SM2 Wavs...\n",
      "Processing 30007\n",
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      "Processing 30010\n",
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      "Processing 30006\n",
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      "Processing 30011\n",
      "Saving VCC2SM2 data to test... \n",
      "Preprocessing Done.\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "!python3 preprocess/preprocess-vcc2018.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2ee4730b-7307-44ee-867c-e576abf8a235",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-01T13:27:36.529742Z",
     "iopub.status.busy": "2024-06-01T13:27:36.529446Z",
     "iopub.status.idle": "2024-06-01T13:27:36.532282Z",
     "shell.execute_reply": "2024-06-01T13:27:36.531920Z",
     "shell.execute_reply.started": "2024-06-01T13:27:36.529725Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "运行时间：450.82165026664734 秒\n"
     ]
    }
   ],
   "source": [
    "# 记录结束时间\n",
    "end_time = time.time()\n",
    "\n",
    "print(f\"运行时间：{end_time - start_time} 秒\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3512600-fcd7-474c-9c76-f24a65b2818b",
   "metadata": {},
   "source": [
    "# 运行-训练--all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "52e075ed-b61b-466d-93d1-e434593b528b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-02T14:28:31.389925Z",
     "iopub.status.busy": "2024-06-02T14:28:31.389684Z",
     "iopub.status.idle": "2024-06-02T14:28:31.393308Z",
     "shell.execute_reply": "2024-06-02T14:28:31.392913Z",
     "shell.execute_reply.started": "2024-06-02T14:28:31.389908Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Errno 2] No such file or directory: 'VAE_experiment'\n",
      "/mnt/workspace/VAE_experiment\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/pai/lib/python3.11/site-packages/IPython/core/magics/osm.py:393: UserWarning: using bookmarks requires you to install the `pickleshare` library.\n",
      "  bkms = self.shell.db.get('bookmarks', {})\n"
     ]
    }
   ],
   "source": [
    "cd VAE_experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2a60087b-9918-44e8-8ad0-723c6a19fbe8",
   "metadata": {
    "ExecutionIndicator": {
     "show": true
    },
    "execution": {
     "iopub.execute_input": "2024-06-02T14:28:33.083968Z",
     "iopub.status.busy": "2024-06-02T14:28:33.083738Z",
     "iopub.status.idle": "2024-06-02T14:28:33.087033Z",
     "shell.execute_reply": "2024-06-02T14:28:33.086656Z",
     "shell.execute_reply.started": "2024-06-02T14:28:33.083954Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "import time\n",
    "\n",
    "# 记录开始时间\n",
    "start_time = time.time()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "dd4788f3-1288-4f00-91a8-790bb89126d5",
   "metadata": {
    "ExecutionIndicator": {
     "show": true
    },
    "execution": {
     "iopub.execute_input": "2024-06-02T14:28:33.398684Z",
     "iopub.status.busy": "2024-06-02T14:28:33.398434Z",
     "iopub.status.idle": "2024-06-02T14:46:47.010849Z",
     "shell.execute_reply": "2024-06-02T14:46:47.010329Z",
     "shell.execute_reply.started": "2024-06-02T14:28:33.398671Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/mnt/workspace/VAE_experiment/data_manager.py:200: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at ../torch/csrc/utils/tensor_new.cpp:261.)\n",
      "  A_y = torch.Tensor(A_y).float().to(device)\n",
      "/mnt/workspace/VAE_experiment/convert.py:116: RuntimeWarning: divide by zero encountered in log\n",
      "  logf0_norm = (np.log(f0)-logf0_m_s) / logf0_s_s\n",
      "/mnt/workspace/VAE_experiment/convert.py:120: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at ../torch/csrc/utils/tensor_new.cpp:261.)\n",
      "  y = torch.Tensor(style).float().to(device).contiguous()\n"
     ]
    }
   ],
   "source": [
    "!bash run_all.sh > vae3_batch8_epoch2000.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "cc8461be-0e69-4f05-9a28-e0bedcb29fef",
   "metadata": {
    "ExecutionIndicator": {
     "show": true
    },
    "execution": {
     "iopub.execute_input": "2024-06-02T15:05:06.781791Z",
     "iopub.status.busy": "2024-06-02T15:05:06.781528Z",
     "iopub.status.idle": "2024-06-02T15:05:06.784647Z",
     "shell.execute_reply": "2024-06-02T15:05:06.784251Z",
     "shell.execute_reply.started": "2024-06-02T15:05:06.781776Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "运行时间：2193.697956085205 秒\n"
     ]
    }
   ],
   "source": [
    "# 记录结束时间\n",
    "end_time = time.time()\n",
    "\n",
    "print(f\"运行时间：{end_time - start_time} 秒\")\n",
    "\n",
    "# VAE_experiment/vae3_batch_32.txt\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7635281-e358-4771-981d-c105886dc7a1",
   "metadata": {},
   "source": [
    "# Loss graph 输出：graph/VAE3.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0114ff00-43b4-439a-b7a3-8bed1b67010c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-02T15:05:41.717350Z",
     "iopub.status.busy": "2024-06-02T15:05:41.717091Z",
     "iopub.status.idle": "2024-06-02T15:05:41.721325Z",
     "shell.execute_reply": "2024-06-02T15:05:41.720932Z",
     "shell.execute_reply.started": "2024-06-02T15:05:41.717329Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/mnt/workspace/VAE_experiment'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "750f1d76-0d1f-4d7f-81f1-56edb0fc04b2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-02T15:05:44.401872Z",
     "iopub.status.busy": "2024-06-02T15:05:44.401646Z",
     "iopub.status.idle": "2024-06-02T15:05:44.404994Z",
     "shell.execute_reply": "2024-06-02T15:05:44.404522Z",
     "shell.execute_reply.started": "2024-06-02T15:05:44.401859Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import time\n",
    "\n",
    "# 记录开始时间\n",
    "start_time = time.time()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "cd60805e-fecf-4411-9306-2cf395cfeb35",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-02T15:05:45.102348Z",
     "iopub.status.busy": "2024-06-02T15:05:45.102062Z",
     "iopub.status.idle": "2024-06-02T15:05:45.319856Z",
     "shell.execute_reply": "2024-06-02T15:05:45.319403Z",
     "shell.execute_reply.started": "2024-06-02T15:05:45.102329Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    " !bash run_graph.sh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d40d75b4-d19d-45b4-881b-2fd4f55f910d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-02T15:05:45.902051Z",
     "iopub.status.busy": "2024-06-02T15:05:45.901741Z",
     "iopub.status.idle": "2024-06-02T15:05:45.904641Z",
     "shell.execute_reply": "2024-06-02T15:05:45.904289Z",
     "shell.execute_reply.started": "2024-06-02T15:05:45.902037Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "运行时间：1.500349998474121 秒\n"
     ]
    }
   ],
   "source": [
    "# 记录结束时间\n",
    "end_time = time.time()\n",
    "\n",
    "print(f\"运行时间：{end_time - start_time} 秒\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2c4c9eab-e2f8-417b-8f9f-b6b6896620a7",
   "metadata": {
    "ExecutionIndicator": {
     "show": true
    },
    "execution": {
     "iopub.execute_input": "2024-06-02T15:05:47.882456Z",
     "iopub.status.busy": "2024-06-02T15:05:47.882227Z",
     "iopub.status.idle": "2024-06-02T15:05:47.888400Z",
     "shell.execute_reply": "2024-06-02T15:05:47.887994Z",
     "shell.execute_reply.started": "2024-06-02T15:05:47.882441Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 1.6063 1.4855\n",
      "2000 1.1487 1.1616\n"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "\n",
    "# 初始化data字典\n",
    "data = {\n",
    "    'epoch': [],\n",
    "    'Train': [],\n",
    "    'Dev': []\n",
    "}\n",
    "\n",
    "# 打开CSV文件并读取数据\n",
    "with open('graph/VAE3.csv', mode='r') as csvfile:\n",
    "    csvreader = csv.reader(csvfile)\n",
    "    header = next(csvreader)  # 跳过标题行\n",
    "    \n",
    "    # 遍历CSV文件中的每一行\n",
    "    for row in csvreader:\n",
    "        # 将每列的数据添加到data字典中\n",
    "        data['epoch'].append(int(row[0]))\n",
    "        data['Train'].append(float(row[1]))\n",
    "        data['Dev'].append(float(row[2]))\n",
    "\n",
    "# 现在data字典包含了从CSV文件中读取的数据\n",
    "# print(data)\n",
    "print(data['epoch'][0], data['Train'][0], data['Dev'][0])\n",
    "print(data['epoch'][-1], data['Train'][-1], data['Dev'][-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "3316e945-7087-4d16-83cc-d2ad03d6a4ea",
   "metadata": {
    "ExecutionIndicator": {
     "show": false
    },
    "execution": {
     "iopub.execute_input": "2024-06-02T15:06:01.709889Z",
     "iopub.status.busy": "2024-06-02T15:06:01.709620Z",
     "iopub.status.idle": "2024-06-02T15:06:02.590151Z",
     "shell.execute_reply": "2024-06-02T15:06:02.589756Z",
     "shell.execute_reply.started": "2024-06-02T15:06:01.709872Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 假设data字典已经被正确加载和填充了数据\n",
    "# 并且data字典中的'epoch'键包含从1开始的连续整数列表\n",
    "\n",
    "# 创建图表\n",
    "plt.figure(figsize=(15, 5))  # 设置图表大小\n",
    "\n",
    "# 选择每隔10个的epoch进行绘图\n",
    "selected_epochs = data['epoch'][0::10]  # 从第1个元素开始，步长为10\n",
    "selected_train_loss = [data['Train'][i] for i in selected_epochs]  # 选择对应的训练损失值\n",
    "selected_dev_loss = [data['Dev'][i] for i in selected_epochs]  # 选择对应的验证损失值\n",
    "\n",
    "\n",
    "\n",
    "# 绘制训练损失曲线（每10个epoch）\n",
    "plt.plot(selected_epochs, selected_train_loss, label='Train Loss', marker='o')\n",
    "\n",
    "# 绘制验证损失曲线（每10个epoch）\n",
    "plt.plot(selected_epochs, selected_dev_loss, label='Dev Loss', marker='x')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 添加标题和轴标签\n",
    "plt.title('Loss over Epochs (Every 10 Epochs)')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "\n",
    "# 优化x轴的刻度标签，使其水平显示\n",
    "plt.xticks(selected_epochs)\n",
    "\n",
    "# 显示网格\n",
    "plt.grid(True)\n",
    "\n",
    "# 保存图表到/graph文件夹\n",
    "plt.savefig('graph/loss_over_epochs_every_10.png')\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8c60b3c-d030-4b3d-bbf4-7f17fc113c92",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-02T14:24:45.596963Z",
     "iopub.status.busy": "2024-06-02T14:24:45.596706Z",
     "iopub.status.idle": "2024-06-02T14:24:45.599617Z",
     "shell.execute_reply": "2024-06-02T14:24:45.599193Z",
     "shell.execute_reply.started": "2024-06-02T14:24:45.596948Z"
    },
    "tags": []
   },
   "source": [
    "# Finish.........."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "83a4c298-d517-4412-8539-b6aa6bfc9ab8",
   "metadata": {
    "ExecutionIndicator": {
     "show": true
    },
    "execution": {
     "iopub.execute_input": "2024-06-02T15:08:17.368620Z",
     "iopub.status.busy": "2024-06-02T15:08:17.368365Z",
     "iopub.status.idle": "2024-06-02T15:08:18.499454Z",
     "shell.execute_reply": "2024-06-02T15:08:18.499062Z",
     "shell.execute_reply.started": "2024-06-02T15:08:17.368605Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# # 选择每隔10个的epoch进行绘图\n",
    "# selected_epochs = data['epoch'][0::10]  # 从第1个元素开始，步长为10\n",
    "# selected_train_loss = [data['Train'][i] for i in selected_epochs]  # 选择对应的训练损失值\n",
    "# selected_dev_loss = [data['Dev'][i] for i in selected_epochs]  # 选择对应的验证损失值\n",
    "\n",
    "\n",
    "\n",
    "# 假设data字典已经被正确加载和填充了数据\n",
    "# 并且data字典中的'epoch'键包含从1开始的连续整数列表\n",
    "\n",
    "# 创建图表\n",
    "plt.figure(figsize=(20, 5))  # 设置图表大小\n",
    "\n",
    "# 选择每隔10个的epoch进行绘图\n",
    "selected_epochs = data['epoch'][0::10]  # 从第1个元素开始，步长为10\n",
    "selected_train_loss = data['Train'][0::10]  # 选择对应的训练损失值\n",
    "selected_dev_loss = data['Dev'][0::10]  # 选择对应的验证损失值\n",
    "\n",
    "# 找到训练损失和验证损失的最小值及其索引\n",
    "train_loss_min = min(selected_train_loss)\n",
    "dev_loss_min = min(selected_dev_loss)\n",
    "train_min_index = selected_train_loss.index(train_loss_min)\n",
    "dev_min_index = selected_dev_loss.index(dev_loss_min)\n",
    "\n",
    "# 绘制训练损失曲线（每10个epoch）\n",
    "plt.plot(selected_epochs, selected_train_loss, label='Train Loss', marker='o')\n",
    "\n",
    "# 绘制验证损失曲线（每10个epoch）\n",
    "plt.plot(selected_epochs, selected_dev_loss, label='Dev Loss', marker='x')\n",
    "\n",
    "# 标识训练损失的最小点\n",
    "plt.scatter(selected_epochs[train_min_index], train_loss_min, color='red', label='Min Train Loss')\n",
    "plt.annotate(f'Train Loss: {train_loss_min:.4f}', \n",
    "            xy=(selected_epochs[train_min_index], train_loss_min), \n",
    "            xytext=(0, 10), textcoords='offset points',\n",
    "            arrowprops=dict(facecolor='black', shrink=0.05))\n",
    "\n",
    "# 标识验证损失的最小点\n",
    "plt.scatter(selected_epochs[dev_min_index], dev_loss_min, color='blue', label='Min Dev Loss')\n",
    "plt.annotate(f'Dev Loss: {dev_loss_min:.4f}', \n",
    "            xy=(selected_epochs[dev_min_index], dev_loss_min), \n",
    "            xytext=(0, 10), textcoords='offset points',\n",
    "            arrowprops=dict(facecolor='black', shrink=0.05))\n",
    "\n",
    "# # 标识最后一个点\n",
    "plt.scatter(selected_epochs[-1], selected_train_loss[-1], color='purple', label='Last Train Loss')\n",
    "plt.annotate(f'Last Dev Loss: {selected_train_loss[-1]:.4f}', \n",
    "            xy=(selected_epochs[-1], selected_train_loss[-1]), \n",
    "            xytext=(0, 10), textcoords='offset points',\n",
    "            arrowprops=dict(facecolor='black', shrink=0.05))\n",
    "\n",
    "\n",
    "plt.scatter(selected_epochs[-1], selected_dev_loss[-1], color='green', label='Last Dev Loss')\n",
    "plt.annotate(f'Last Dev Loss: {selected_dev_loss[-1]:.4f}', \n",
    "            xy=(selected_epochs[-1], selected_dev_loss[-1]), \n",
    "            xytext=(0, 10), textcoords='offset points',\n",
    "            arrowprops=dict(facecolor='black', shrink=0.05))\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 添加标题和轴标签\n",
    "plt.title('Loss over Epochs (Every 10 Epochs)')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "\n",
    "# 优化x轴的刻度标签，使其水平显示\n",
    "plt.xticks(selected_epochs)\n",
    "\n",
    "# 显示网格\n",
    "plt.grid(True)\n",
    "\n",
    "# 保存图表到/graph文件夹\n",
    "plt.savefig('graph/loss_over_epochs_every_10.png')\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "1cab5bdf-4d2a-4a86-af0a-223049bd7eac",
   "metadata": {
    "ExecutionIndicator": {
     "show": true
    },
    "execution": {
     "iopub.execute_input": "2024-06-02T09:26:28.521386Z",
     "iopub.status.busy": "2024-06-02T09:26:28.521132Z",
     "iopub.status.idle": "2024-06-02T09:26:32.332201Z",
     "shell.execute_reply": "2024-06-02T09:26:32.331796Z",
     "shell.execute_reply.started": "2024-06-02T09:26:28.521371Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 假设data字典已经被正确加载和填充了数据\n",
    "\n",
    "# 创建图表\n",
    "plt.figure(figsize=(20, 5))  # 设置图表大小\n",
    "\n",
    "# 绘制训练损失曲线\n",
    "plt.plot(data['epoch'], data['Train'], label='Train Loss', marker='o')\n",
    "\n",
    "# 绘制验证损失曲线\n",
    "plt.plot(data['epoch'], data['Dev'], label='Dev Loss', marker='x')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 添加标题和轴标签\n",
    "plt.title('Loss over Epochs')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "\n",
    "# 优化x轴的刻度标签，使其水平显示\n",
    "plt.xticks(data['epoch'])\n",
    "\n",
    "# 显示网格\n",
    "plt.grid(True)\n",
    "\n",
    "# 保存图表到/graph文件夹\n",
    "plt.savefig('graph/loss_over_epochs.png')\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "02f28529-26a1-49b3-b7b3-de25dd434042",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-02T07:38:36.716785Z",
     "iopub.status.busy": "2024-06-02T07:38:36.716524Z",
     "iopub.status.idle": "2024-06-02T07:38:38.069389Z",
     "shell.execute_reply": "2024-06-02T07:38:38.068959Z",
     "shell.execute_reply.started": "2024-06-02T07:38:36.716770Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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61qxZPP/88+zdu7d4n4+PT/Frh8OBzWbDxeXiEbJu3brlW2g1p57uKmTRznju/WZLiX/JABLScrj3my0s2hl/nk+KiIiIiEh15owsEBoaWrz5+/tjGEbx+z179uDr68uvv/5Kt27dcHd3Z/Xq1Rw8eJBrr72WevXq4ePjQ48ePfj9999LXPevw8sNw+Czzz7juuuuw8vLixYtWjB//vzLqv2HH36gXbt2uLu706RJE956660Sxz/44ANatGiBh4cH9erVY/z48cXH5syZQ4cOHfD09CQoKIhhw4aRlZV1WfVciEJ3FWGzO5j68y7ONXikaN/Un3dpqLmIiIiISDXgcDjIziso1ZaRk88L8/+8YBaYMn8XGTn5pbqew1F+meHpp5/m9ddfZ/fu3XTs2JHMzEyuuuoq/vjjD7Zu3crIkSMZM2YMMTExF7zO1KlTufHGG9m+fTtXXXUVN998MykpKWWqafPmzdx4443cdNNN7NixgylTpvDcc88xffp0ADZt2sRDDz3Eiy++yN69e1m0aBEDBw4EzN79iRMn8re//Y3du3ezfPlyxo0bV6737K80vLyK2BCdctbfap3JAcSn5bAhOoU+EUGVV5iIiIiIiFyyU/k22j7/W7lcywEkpOfQYcriUp2/68Ur8XIrn6j34osvMnz48OL3gYGBdOrUqfj9Sy+9xNy5c5k/fz4PPPDAea8zefJkJk6cCMCrr77KO++8w4YNGxg5cuQl1/Tvf/+boUOH8txzzwHQsmVLdu3axRtvvMHkyZOJiYnB29ub0aNH4+vrS3h4OF26dAHM0F1QUMC4ceMIDw8HoEOHDpdcw6VQT3cVkZhx/sBdlvNEREREREQuV/fu3Uu8z8zM5IknnqBNmzYEBATg4+PD7t27L9rT3bFjx+LX3t7e+Pn5kZiYWKaadu/eTb9+/Urs69evH/v378dmszF8+HDCw8Np1qwZt956K99++y3Z2dkAdOrUiaFDh9KhQwduuOEGPv30U06ePFmmOkpLPd1VRIivR7meJyIiIiIizuPpamXXi1eW6twN0SlM/nLjRc+bfkcPejYNLNV3lxdvb+8S75944gmWLFnCm2++SfPmzfH09GT8+PHk5eVd8Dqurq4l3huGgd1uL7c6z+Tr68uWLVtYvnw5ixcv5vnnn2fKlCls3LiRgIAAlixZwtq1a1m8eDHvvvsuzz77LJGRkTRt2rRC6lFPdxXRs2kgYf4eGOc5bmDOXFiaf8lERERERMS5DMPAy82lVNuAFnVLlQUGtKhbqusZxvmudPnWrFnD5MmTue666+jQoQOhoaEcPny4wr7vXNq0acOaNWvOqqtly5ZYreZfOLi4uDBs2DCmTZvG9u3bOXz4MEuXLgXM302/fv2YOnUqW7duxc3Njblz51ZYverpriKsFoMXxrTl3m+2YMA5J1F4YUxbrJaK+xdIREREREQq34WyQNGf/qtKFmjRogU//vgjY8aMwTAMnnvuuQrrsT5x4gRRUVEl9oWFhfH444/To0cPXnrpJSZMmMC6det47733+OCDDwBYsGABhw4dYuDAgdSpU4eFCxdit9tp1aoVkZGR/PHHH4wYMYKQkBAiIyM5ceIEbdq0qZA2gHq6q5SR7cP48JauhPqfPYT8/41qrXW6RURERERqqPNlgVB/Dz68pWuVyQL//ve/qVOnDn379mXMmDFceeWVdO3atUK+a+bMmXTp0qXE9umnn9K1a1dmz57Nd999R/v27Xn++ed58cUXmTx5MgABAQH8+OOPDBkyhDZt2vDRRx8xc+ZM2rVrh5+fHytXruSqq66iZcuW/N///R9vvfUWo0aNqpA2gHq6q5yR7cMY3jaUdQcSWbwqkv22YNYdOsnhpIpbN05ERERERJyvKAtEHkriSGIq4SEB9GoWXCk93JMnTy4OrQCDBg065zJaTZo0KR6mXeT+++8v8f6vw83PdZ3U1NQL1rNgwQL8/PywWM7dT3z99ddz/fXXn/NY//79Wb58+TmPtWnThkWLFl3wu8uberqrIKvFoFfTQLoFO3hgcAQA87fFkZGT7+TKRERERESkIlktBr2bBTGqbV16NwuqEkPK5fIodFdxPcLr0DzEh+w8G/Oi4pxdjoiIiIiIiFwChe4qzjAMJvZsDMCMyJhzDs0QERERERGRqkmhuxq4vmsD3Fws7I5PJyo21dnliIiIiIiISCkpdFcDAV5ujO5gzlY4IzLGydWIiIiIiIhIaSl0VxOTeplDzH/eHkfaKU2oJiIiIiIiUh0odFcT3cLr0LKeDzn5dn6KOubsckRERERERKQUFLqrCcMwmKQJ1URERERERKoVhe5q5LouDXF3sbAnIYMtManOLkdEREREREQuQqG7GvH3cmV0x/qAJlQTERERERGpDhS6q5miCdUWbI8jLVsTqomIiIiISNlNnjwZwzAwDANXV1fq1avH8OHD+eKLL7Db7RX+/YMGDeKRRx6p8O9xJoXuaqZr4wBah/qSW2Dnx61HnV2OiIiIiIiUh2WvwYpp5z62Ypp5vIKMHDmS+Ph4Dh8+zK+//srgwYN5+OGHGT16NAUFBRX2vbWFQnc1YxhGcW+3JlQTEREREakhLFZY9srZwXvFNHO/xVphX+3u7k5oaCgNGjSga9eu/POf/+Snn37i119/Zfr06cXnpaamctddd1G3bl38/PwYMmQI27ZtA2Dfvn0YhsGePXtKXPvtt98mIiKizLX98MMPtGvXDnd3d5o0acJbb71V4vgHH3xAixYt8PDwoF69eowfP7742Jw5c+jQoQOenp4EBQUxbNgwsrKyylxLWSl0V0NjuzTA09XK/sRMNh056exyRERERETkrxwOyMsq/dbnfhj4pBmwl70C+dmnXw980jxe2muVQ8fckCFD6NSpEz/++GPxvhtuuIHExER+/fVXNm/eTNeuXRk6dCgpKSm0bNmS7t278+2335a4zrfffsukSZPKVMPmzZu58cYbuemmm9ixYwdTpkzhueeeK/6LgE2bNvHQQw/x4osvsnfvXhYtWsTAgQMBiI+PZ+LEifztb39j9+7dLF++nHHjxjml09Kl0r9RLpufhytjOoUxe9NRZkTG0KNJoLNLEhERERGRM+Vnw6v1y/RRy6o3CVj15ukdK98wt9L6Zxy4eZfpu8/UunVrtm/fDsDq1avZsGEDiYmJuLu7A/Dmm28yb9485syZw913383NN9/Me++9x0svvQSYvd+bN2/mm2++KdP3v/322wwdOpTnnnsOgJYtW7Jr1y7eeOMNJk+eTExMDN7e3owePRpfX1/Cw8Pp0qULYIbugoICxo0bR3h4OAAdOnS4rPtRVurprqYm9TL/wfllRzwns/KcXI2IiIiIiNQ0DocDwzAA2LZtG5mZmQQFBeHj41O8RUdHc/DgQQBuuukmDh8+zPr16wGzl7tr1660bt26TN+/Z88e+vXrV2Jfv3792L9/PzabjeHDhxMeHk6zZs249dZb+fbbb8nOzgagU6dODB06lA4dOnDDDTfw6aefcvKkc0YJq6e7murU0J+2YX7sik/nhy1HuWtAM2eXJCIiIiIiRVy9zB7nS7X6bVj5Bg6LK4Y93xxa3v/RS//ucrB7926aNm0KQGZmJmFhYSxfvvys8wICAgAIDQ1lyJAhzJgxg969ezNjxgzuvffecqnlXHx9fdmyZQvLly9n8eLFPP/880yZMoWNGzcSEBDAkiVLWLt2LYsXL+bdd9/l2WefJTIysrhNlUU93dVUiQnVNmhCNRERERGRKsUwzCHel7Ktex9WvoF90D9Je+gA9kH/NIeVr3v/0q5T2Dt9OZYuXcqOHTu4/vrrAejatSsJCQm4uLjQvHnzEltwcHDx526++WZmzZrFunXrOHToEDfddFOZa2jdujVr1qwpsW/NmjW0bNkSq9WcWM7FxYVhw4Yxbdo0tm/fzuHDh1m6dClgZqZ+/foxdepUtm7dipubG3Pnzi1zPWWlnu5q7NrO9Xl14W4OncgiMjqF3s2CnF2SiIiIiIiURdEs5YOfhQFPQHq62cttGOZ+gCueqpCvzs3NJSEhAZvNxvHjx1m0aBGvvfYao0eP5rbbbgNg2LBh9OnTh7FjxzJt2jRatmxJXFwcv/zyC9dddx3du3cHYNy4cdx7773ce++9DB48mPr1L/5c+4kTJ4iKiip+b7fb8fHx4bHHHqNXr1689NJLTJgwgXXr1vHee+/xwQcfALBgwQIOHTrEwIEDqVOnDgsXLsRut9OqVSsiIyP5448/GDFiBCEhIURGRnLixAnatGlT/jfwIhS6qzFfD1eu7VyfmRtimREZo9AtIiIiIlJd2W1m4L7iKbDbT+8vCtp2W4V99aJFiwgLC8PFxYU6derQqVMn3nnnHW6//XYsFnNwtGEYLFy4kGeffZY77riDEydOEBoaysCBA6lXr17xtXx9fRkzZgyzZ8/miy++KNX3z5gxgxkzZpTY9+yzz/Liiy8ye/Zsnn/+eV566SXCwsJ48cUXmTx5MmAOa//xxx+ZMmUKOTk5tGjRgpkzZ9KuXTt2797NypUr+c9//kN6ejrh4eG89dZbjBo1qnxu2iVQ6K7mJvUMZ+aGWBbtTCAlK49AbzdnlyQiIiIiIpdq8DPnP1ZBPdwA06dPL7EW94X4+vryzjvv8M4771zwvFmzZjFr1qxSXfNcz4jb7XbS09MBuP7664uHuP9V//79z/l5gDZt2rBo0aJS1VDR9Ex3NdehoT8dGviTZ7Pzw+ajzi5HREREREREzqDQXQMUTag2UxOqiYiIiIiIVCkK3TXANZ3q4+1m5VBSFusOJTu7HBERERERESmk0F0DeLu7cG2XBgDMiIxxcjUiIiIiIiJSRKG7hpjU0xxi/tufCSRl5jq5GhEREREREQGF7hqjfQN/OjX0J9/mYI4mVBMRERERcQr7mct9SbVXHr9PLRlWg0zq1ZhtR3cwc0MMdw9ohsViOLskEREREZFawc3NDYvFQlxcHHXr1sXNzQ3DKNufx+12O3l5eeTk5BSvk12bVIX2OxwO8vLyOHHiBBaLBTe3si/NrNBdg4zpVJ+XF+zmSHI2aw8m079FsLNLEhERERGpFSwWC02bNiU+Pp64uLjLupbD4eDUqVN4enqWObhXZ1Wp/V5eXjRu3Piywr9Cdw3i5ebC2C4N+N/6I8zYcEShW0RERESkErm5udG4cWMKCgqw2Wxlvk5+fj4rV65k4MCBuLq6lmOF1UNVab/VasXFxeWyg79Cdw0zqVdj/rf+CIv/PE5iRg4hvh7OLklEREREpNYwDANXV9fLCotWq5WCggI8PDxqZeiuae2vfQ8I1HBtwvzo0jiAAruD7zdpQjURERERERFnUuiugYqWD/tuYwx2u8PJ1YiIiIiIiNReCt010OiO9fH1cCE25RSrDiQ5uxwREREREZFaS6G7BvJ0s3J914YAzIg84uRqREREREREai+F7hpqUi9ziPnvuxM5np7j5GpERERERERqJ4XuGqplPV+6h9fBZnfw/aZYZ5cjIiIiIiJSKyl012BFvd0zN8Ri04RqIiIiIiIilU6huwa7qkMY/p6uHEs9xcr9J5xdjoiIiIiISK2j0F2DebhaGde1AQAzImOcXI2IiIiIiEjto9Bdw91cOMR86Z5EEtI0oZqIiIiIiEhlUuiu4ZqH+NKzSSA2u4NZGzWhmoiIiIiISGVS6K4FiiZUm7UxRhOqiYiIiIiIVCKF7lpgZPtQ6ni5EpeWw/K9ic4uR0REREREpNZQ6K4FPFytXN+1IaAJ1URERERERCqTQnctMbFwiPmyvYnEpZ5ycjUiIiIiIiK1g0J3LRFR14fezQKxO+A7TagmIiIiIiJSKRS6a5FJvcIBc0K1ApvdydWIiIiIiIjUfArdtciV7eoR6O3G8fRclu7RhGoiIiIiIiIVzamhe+XKlYwZM4b69etjGAbz5s274PmTJ0/GMIyztnbt2lVOwdWcu4uVG7oVTqi2QROqiYiIiIiIVDSnhu6srCw6derE+++/X6rz//vf/xIfH1+8xcbGEhgYyA033FDBldYcE3uaE6qt2HeC2JRsJ1cjIiIiIiJSs7k488tHjRrFqFGjSn2+v78//v7+xe/nzZvHyZMnueOOOyqivBqpSbA3/ZoHseZAMrM3xfL4iFbOLklERERERKTGcmrovlyff/45w4YNIzw8/Lzn5ObmkpubW/w+PT0dgPz8fPLz8yu8xrIqqq0iapzQrQFrDiQza2Ms9w5sgqu16j3aX5Htry5q+z1Q+9X+M3/WRrX9Hqj9av+ZP2uj2n4P1H61/8yfVVVp6zMcDoejgmspFcMwmDt3LmPHji3V+XFxcTRu3JgZM2Zw4403nve8KVOmMHXq1LP2z5gxAy8vr7KWW60V2OGFLVYy8w3+1tJGp6Aq8Y+AiIiIiIhItZGdnc2kSZNIS0vDz8/vvOdV257ur776ioCAgIuG9GeeeYbHHnus+H16ejqNGjVixIgRF7wxzpafn8+SJUsYPnw4rq6u5X79fW77+XhVNPvtITxzVbdyv/7lquj2Vwe1/R6o/Wp/bW4/6B6o/Wp/bW4/6B6o/Wp/dWh/0Sjqi6mWodvhcPDFF19w66234ubmdsFz3d3dcXd3P2u/q6trlf4FFqmoOif1DufjVdGsPphMQkY+jQKrZq9/dfk9VaTafg/UfrW/NrcfdA/UfrW/NrcfdA/UfrW/Kre/tLVVvYd5S2HFihUcOHCAO++809mlVFvhQd4MaBGMwwEztXyYiIiIiIhIhXBq6M7MzCQqKoqoqCgAoqOjiYqKIibGDIHPPPMMt91221mf+/zzz+nVqxft27evzHJrnEmFy4fN3nSUfJvdydWIiIiIiIjUPE4N3Zs2baJLly506dIFgMcee4wuXbrw/PPPAxAfH18cwIukpaXxww8/qJe7HAxrW4+6vu4kZeayZNdxZ5cjIiIiIiJS4zj1me5BgwZxocnTp0+fftY+f39/srOzK7Cq2sPVauHG7g15f9lBZkTGcFWHMGeXJCIiIiIiUqNUy2e6pfzc1KMxhgGrDyRxOCnL2eWIiIiIiIjUKArdtVyjQC8GtqgLwMyNmlBNRERERESkPCl0C5N6mROqzdl0lLwCTagmIiIiIiJSXhS6haGtQ6jn505yVh6//Zng7HJERERERERqDIVuwcVqYUL3RgDMiNQQcxERERERkfKi0C0ATOjZGIsB6w4lc+hEprPLERERERERqREUugWABgGeDGoVAsB3G2OdXI2IiIiIiEjNoNAtxSb1LJxQbfNRcgtsTq5GRERERESk+lPolmKDWtUlzN+DlKw8Fu3UhGoiIiIiIiKXS6FbirlYLUzooQnVREREREREyotCt5QwoUcjLAZERqdwIFETqomIiIiIiFwOhW4pIczfkyGtzQnVZm5Qb7eIiIiIiMjlUOiWs0zqZU6o9sOWo+Tka0I1ERERERGRslLolrNc0TKEBgGepGbn8+vOeGeXIyIiIiIiUm0pdMtZrBZDE6qJiIiIiIiUA4VuOacJPRphtRhsPHySfccznF2OiIiIiIhItaTQLedUz8+DoYUTqqm3W0REREREpGwUuuW8iiZU+1ETqomIiIiIiJSJQrec18AWdWlYx5P0nAIWbNeEaiIiIiIiIpdKoVvOy2IxmNjT7O2eEXnEydWIiIiIiIhUPwrdckE3dG+Ii8VgS0wqexLSnV2OiIiIiIhItaLQLRcU4uvB8Lb1AJipCdVEREREREQuiUK3XFTxhGpbj3EqTxOqiYiIiIiIlJZCt1xUv4hgGgd6kZFTwM/b45xdjoiIiIiISLWh0C0XVXJCNQ0xFxERERERKS2FbimVG7o3xNVqEBWbyq44TagmIiIiIiJSGgrdUirBPu6MaBcKwIwNWj5MRERERESkNBS6pdQmFQ4xn7c1jqzcAidXIyIiIiIiUvUpdEup9WkWRJMgLzJzC/h5myZUExERERERuRiFbim1EhOqbdCEaiIiIiIiIhej0C2XZHy3hrhZLWw/msbOY2nOLkdERERERKRKU+iWSxLk486V7c0J1b7V8mEiIiIiIiIXpNAtl6xoQrX5UcfI1IRqIiIiIiIi56XQLZesd7NAmtX1JivPxk9Rx5xdjoiIiIiISJWl0C2XzDCM4t7uGZExOBwOJ1ckIiIiIiJSNSl0S5lc37Uhbi4W/oxLZ4cmVBMRERERETknhW4pkzreblxVOKHaDE2oJiIiIiIick4K3VJmk3qFAzB/WxwZOflOrkZERERERKTqUeiWMuvRpA7NQ3zIzrMxLyrO2eWIiIiIiIhUOQrdUmaaUE1EREREROTCFLrlslzftSHuLhZ2x6cTFZvq7HJERERERESqFIVuuSz+Xq5c3TEM0IRqIiIiIiIif6XQLZetaIj5z9vjSDulCdVERERERESKKHTLZesWXoeW9XzIybczb+sxZ5cjIiIiIiJSZSh0y2XThGoiIiIiIiLnptAt5eK6rg3xcLWw93gGW2JOOrscERERERGRKkGhW8qFv6crozvWB+BbTagmIiIiIiICKHRLOZrUyxxi/sv2eNKyNaGaiIiIiIiIQreUmy6NAmgd6ktugZ0fthx1djkiIiIiIiJOp9At5cYwDG4u7O2esUETqomIiIiIiCh0S7m6tksDPF2tHEjMZNMRTagmIiIiIiK1m0K3lCs/D1eu6WROqDZDE6qJiIiIiEgtp9BdlSx7DVZMO/exFdPM49VA8YRqO+I5mZXn5GpEREREREScR6G7KrFYYdkrZwfvFdPM/Rarc+q6RB0b+tOuvh95mlBNRERERERqOYXuquSKp2Dws7DsFSyr3sRiz8Oy6k0zcA9+1jxeDRiGUdzbrQnVRERERESkNnNxdgHyF1c8BQ4H1uWvMhowoFoF7iLXdm7Aq7/s5tCJLCKjU+jdLMjZJYmIiIiIiFQ69XRXRd0m48AM3A7DgAGPO7uiS+bj7sI1nRsAmlBNRERERERqL4XuqmjLV2bgBgyHA74c5eyKyqRoze5FOxNI0YRqIiIiIiJSCyl0VzWFk6bZBj7N5ib3mftiI2HmROfWVQbtG/jToYE/eTY7czbHOrscERERERGRSqfQXZUUzVI++FnsA57gWJ3e2AYUPsu9dyHMu9e59ZVB0YRqMzfEakI1ERERERGpdRS6qxK77axJ0+wDnoT24803O36ApANOKq5srulUHx93F6KTslh3MNnZ5YiIiIiIiFQqhe6qZPAzZ89Sbhhw7fvQsAfYcmHGDZCd4pz6ysDb3YVrO9cH4NsNmlBNRERERERqF4Xu6sDVA26aAf6NIeUQzL4NCqrPxGRFQ8wX/5lAUmauk6sRERERERGpPArd1YVPCEyaBW6+cHgV/PIoVJNnpNvV96dTowDybQ6+33TU2eWIiIiIiIhUGoXu6qReWxj/BRgW2PoNrH3X2RWV2s09zd7u7zbGYLdXj78sEBERERERuVwK3dVNyxFw5Wvm6yXPw55fnFtPKY3uFIavuwtHkrNZqwnVRERERESkllDoro56/QO63wk44Ie7IH6bsyu6KC83F67r2gCAGRuOOLkaERERERGRyqHQXR0ZBoz6FzQbDPnZMOMmSI93dlUXdXpCteMkZuQ4uRoREREREZGKp9BdXVld4YbpENwSMuLgu4mQl+3sqi6odagfXRsHUGDXhGoiIiIiIlI7KHRXZ54B5ozmnoEQtxXm3QN2u7OruqBJvcIBTagmIiIiIiK1g0J3dRfYDG76FiyusOsnWPaysyu6oNEdw/DzcCE25RSrDiQ5uxwREREREZEKpdBdE4T3hWveMV+veguiZjq3ngvwcLUyrmtDAGZEakI1ERERERGp2RS6a4rOk6D/Y+br+Q/CkbXOrecCbi6cUO333YkcT9eEaiIiIiIiUnMpdNckQ56DNteAPR++uxlSDjm7onNqUc+XHk3qYLM7mL0x1tnliIiIiIiIVBiF7prEYoHrPoawznAqxVxK7FSqs6s6p4k9zd7u7zbGYtOEaiIiIiIiUkM5NXSvXLmSMWPGUL9+fQzDYN68eRf9TG5uLs8++yzh4eG4u7vTpEkTvvjii4ovtrpw84KJ34FvfUjaC99PBluBs6s6y1UdwvD3dOVY6ilW7jvh7HJEREREREQqhFNDd1ZWFp06deL9998v9WduvPFG/vjjDz7//HP27t3LzJkzadWqVQVWWQ35hcGk78DVCw4tg1+fAkfV6k32cLVyfeGEat9Gxji5GhERERERkYrh4swvHzVqFKNGjSr1+YsWLWLFihUcOnSIwMBAAJo0aVJB1VVzYZ1g3Kcw6xbY9DnUbQW9/uHsqkqY1KsRX6yJZume48SnnSLM39PZJYmIiIiIiJQrp4buSzV//ny6d+/OtGnT+N///oe3tzfXXHMNL730Ep6e5w5subm55ObmFr9PT08HID8/n/z8/EqpuyyKarusGptfiWXI81iXTsWx6Glsfo1xNB9WThVevvA6HvRoUoeNh08yc/0RHhwSUXysXNpfzdX2e6D2q/1n/qyNavs9UPvV/jN/1ka1/R6o/Wr/mT+rqtLWZzgcVWPcsWEYzJ07l7Fjx573nJEjR7J8+XKGDRvG888/T1JSEvfddx+DBw/myy+/POdnpkyZwtSpU8/aP2PGDLy8vMqr/KrL4aBzzOeEp6wk3+LBqpbPk+HZ0NlVFdt0wuB/B6wEuDl4oasNi+HsikRERERERC4uOzubSZMmkZaWhp+f33nPq1ahe8SIEaxatYqEhAT8/f0B+PHHHxk/fjxZWVnn7O0+V093o0aNSEpKuuCNcbb8/HyWLFnC8OHDcXV1vbyL2fKwzhiPJWYtDv9GFNyxGLzrlk+hlym3wM6AN1ZwMjufj2/pwpBWZl3l2v5qqrbfA7Vf7a/N7QfdA7Vf7a/N7QfdA7Vf7a8O7U9PTyc4OPiiobtaDS8PCwujQYMGxYEboE2bNjgcDo4ePUqLFi3O+oy7uzvu7u5n7Xd1da3Sv8Ai5VKnqyvc9C18NhQj5RCuc26H238GV4/yKfIySxvfrSGfropm9qZjXNm+/l+OV4/fU0Wq7fdA7Vf7a3P7QfdA7Vf7a3P7QfdA7Vf7q3L7S1tbtVqnu1+/fsTFxZGZmVm8b9++fVgsFho2rDpDpqskr0CYNBs8/OHoBvjp/iozo3nRmt3L9iYSl3rKydWIiIiIiIiUH6eG7szMTKKiooiKigIgOjqaqKgoYmLMJaSeeeYZbrvttuLzJ02aRFBQEHfccQe7du1i5cqVPPnkk/ztb38770RqcobgFnDj12BxgZ1zYMU0Z1cEQLO6PvRpFoTdAd9tjHV2OSIiIiIiIuXGqaF706ZNdOnShS5dugDw2GOP0aVLF55//nkA4uPjiwM4gI+PD0uWLCE1NZXu3btz8803M2bMGN555x2n1F8tNRsEV79lvl7+KuyY49RyikzqZfZ2z9oYQ4HN7uRqREREREREyodTn+keNGgQF5rHbfr06Wfta926NUuWLKnAqmqBbpMhaT+sew/m3QcB4dCoh1NLurJdKEHebhxPz2XpnkQGtwxyaj0iIiIiIiLloVo90y3laPiL0HIU2HLhu4mQGnPxz1QgNxcL47ubz+XP2ODcWkRERERERMqLQndtZbHC9Z9BvQ6QdQJm3AS5GU4taWIPc4j5in0nOHpSE6qJiIiIiEj1p9Bdm7n7wKTvwKceJP4Jc+4Eu81p5TQJ9qZ/82AcDnj7j/1sTjKIjE7BZq8as6yLiIiIiIhcKoXu2s6/Idw0E1w8YP9vsPg5p5bTJswXgPnbEvh6v5VbvthE/38tZdHOeKfWJSIiIiIiUhYK3QINu8HYD83X69+HTV84pYxFO+P5bFX0WfsT0nK495stCt4iIiIiIlLtKHSLqf04GPx/5utfnoCDyyr16212B1N/3sW5BpIX7Zv68y4NNRcRERERkWpFoVtOG/gEdLgRHDaYfTuc2FdpX70hOoX4tJzzHncA8Wk5bIhOqbSaRERERERELpdCt5xmGHDNu9CoF+SmwYwbIbtyQm5ixvkDd1nOExERERERqQoUuqUkVw+Y8C0ENIaT0TDrFijIrfCvDfH1KNfzREREREREqgKFbjmbT12YNBvc/eDIGvj5EXBU7LPUPZsGEubvgXGBc9xdLLSq51uhdYiIiIiIiJQnhW45t5A2cMOXYFhg2wxY858K/TqrxeCFMW0Bzhu8cwvsXPvBanYeS6vQWkRERERERMqLQrecX/NhMGqa+fr3KbBrfoV+3cj2YXx4S1dC/UsOIQ/z9+CZUa1pFOhJbMopxn24lhmRMTgquPddRERERETkcrk4uwCp4nr+HZL2wYZP4Me7IaAR1O9SYV83sn0Yw9uGsu5AIotXRTJiQC/6NA/BajG4qUdjHv9+G7/vPs4/5+5g4+EUXrmuPV5u+sdYRERERESqJvV0y8Vd+RpEDIWCUzBzIqTHVejXWS0GvZoG0i3YQa+mgVgt5oBzfy9XPr2tG8+Mao3VYjB36zHGvr+GA4mZFVqPiIiIiIhIWSl0y8VZXcznu+u2hox4mHkT5GU5pRTDMPjHFRHMuKsXdX3d2Xc8k2vfW838bRX7FwEiIiIiIiJlodAtpePhD5NmgVcQxG8zh5rb7U4rp1ezIH55qD99mgWRlWfjoZlbeeGnneQW2JxWk4iIiIiIyF8pdEvp1WkCN80AqxvsWQBLX3RqOSG+Hvzvzp7cPzgCgK/WHeHGj9Zx9GS2U+sSEREREREpotAtl6Zxb7jmPfP16rdh67dOLcfFauHJK1vzxeTu+Hu6su1oGle/s5plexKdWpeIiIiIiAgodEtZdJoAA580X//8MBxe49x6gCGt6/HLQ/3p1NCftFP53DF9I2/+thebXcuKiYiIiIiI8yh0S9kM+ie0HQv2fJh1MyQfdHZFNKzjxex7+nBbn3AA3lt2gFs/j+RERq6TKxMRERERkdqqTKE7NjaWo0ePFr/fsGEDjzzyCJ988km5FSZVnMUCYz+E+l3h1EmYMcH86WTuLlZevLY970zsgpeblbUHk7n6nVVEHkp2dmkiIiIiIlILlSl0T5o0iWXLlgGQkJDA8OHD2bBhA88++ywvvujcybWkErl5wcSZ4NcQkvfD7NvBlu/sqgC4plN95j/QjxYhPiRm5DLps0g+XnEQh0PDzUVEREREpPKUKXTv3LmTnj17AjB79mzat2/P2rVr+fbbb5k+fXp51idVnW8oTPoOXL0hegUsfAKqSLBtHuLLTw/0Y2zn+tjsDl77dQ93/28zaaeqxl8MiIiIiIhIzVem0J2fn4+7uzsAv//+O9dccw0ArVu3Jj4+vvyqk+ohtAOM/xwwYPN0WP+hsysq5uXmwtsTOvPKde1xs1pYsus4o99dxc5jac4uTUREREREaoEyhe527drx0UcfsWrVKpYsWcLIkSMBiIuLIygoqFwLlGqi1SgY8bL5+rd/wt5Fzq3nDIZhcHOvcH64ty+NAj2JTTnFuA/XMiMyRsPNRURERESkQpUpdP/rX//i448/ZtCgQUycOJFOnToBMH/+/OJh51IL9bkfut4OOOCHOyFhp7MrKqFDQ38WPDCAYW1CyCuw88+5O3h89jay8wqcXZqIiIiIiNRQLmX50KBBg0hKSiI9PZ06deoU77/77rvx8vIqt+KkmjEMuPotOBkN0Sth5k1w1x/gW8/ZlRXz93Llk1u788mqQ7zx215+3HqMnXFpfHBzN5qH+Di7PBERERERqWHK1NN96tQpcnNziwP3kSNH+M9//sPevXsJCQkp1wKlmrG6wo1fQ1BzSIuF7yZB/ilnV1WCxWJwzxURzLirF3V93dl3PJNr31vN/G1xzi5NRERERERqmDKF7muvvZavv/4agNTUVHr16sVbb73F2LFj+fDDqjOJljiJZx2YNBs8AuDYJph3X5WZ0fxMvZoF8ctD/endLJCsPBsPzdzKCz/tJLfA5uzSRERERESkhihT6N6yZQsDBgwAYM6cOdSrV48jR47w9ddf884775RrgVJNBUXAhG/A4gJ//gjLX3d2RecU4uvBN3f24v7BEQB8te4IN368nqMns51cmYiIiIiI1ARlCt3Z2dn4+voCsHjxYsaNG4fFYqF3794cOXKkXAuUaqzpABj9tvl6xeuw/Xvn1nMeLlYLT17Zmi8md8ff05VtsamMfnc1y/YmOrs0ERERERGp5soUups3b868efOIjY3lt99+Y8SIEQAkJibi5+dXrgVKNdf1Nuj7kPn6p/shJtK59VzAkNb1WPBgfzo29Cc1O587vtzIm7/txWavekPjRURERESkeihT6H7++ed54oknaNKkCT179qRPnz6A2evdpUuXci1QaoBhU6DV1WDLNSdWO1l1R0M0CvTi+3v6cGvvcADeW3aAWz+P5ERGrpMrExERERGR6qhMoXv8+PHExMSwadMmfvvtt+L9Q4cO5e233y634qSGsFjh+k8htCNkJ8GMCZCT7uyqzsvdxcpLY9vz35s64+VmZe3BZK5+ZxUbolOcXZqIiIiIiFQzZQrdAKGhoXTp0oW4uDiOHj0KQM+ePWndunW5FSc1iJs3TPwOfELhxG6Y8zewFTi7qgu6tnMD5j/QjxYhPiRm5DLx0/V8vOIgjio4E7uIiIiIiFRNZQrddrudF198EX9/f8LDwwkPDycgIICXXnoJu91e3jVKTeHfACbOBBdPOLAEFj/r7IouqnmILz890I+xnetjszt47dc93P2/zaSdynd2aSIiIiIiUg2UKXQ/++yzvPfee7z++uts3bqVrVu38uqrr/Luu+/y3HPPlXeNUpM06ArjPjZfR34EGz51bj2l4OXmwtsTOvPy2Pa4WS0s2XWc0e+uYuexNGeXJiIiIiIiVVyZQvdXX33FZ599xr333kvHjh3p2LEj9913H59++inTp08v5xKlxml7LQx93nz96/+DA384t55SMAyDW3qH88O9fWlYx5PYlFOM+3AtMyJjNNxcRERERETOq0yhOyUl5ZzPbrdu3ZqUFE02JaXQ/zHoNBEcNvh+MiTucXZFpdKhoT+/PDiAoa1DyCuw88+5O3h89jay86r28+kiIiIiIuIcZQrdnTp14r333jtr/3vvvUfHjh0vuyipBQwDxvwXGveB3HSYcSNkJTm7qlLx93Ll09u68/9GtsZiwI9bjzH2/TUcPJHp7NJERERERKSKcSnLh6ZNm8bVV1/N77//XrxG97p164iNjWXhwoXlWqDUYC7uMOFb+GwInDwMs26B234y91dxFovBvYMi6NI4gAdnbmXf8UyueXc1r1/fkTGd6ju7PBERERERqSLK1NN9xRVXsG/fPq677jpSU1NJTU1l3Lhx/Pnnn/zvf/8r7xqlJvMOgkmzwd0fYtbBzw9DNXpGunezIH55qD+9mwWSlWfjwZlbeeGnneQW2JxdmoiIiIiIVAFlXqe7fv36vPLKK/zwww/88MMPvPzyy5w8eZLPP/+8POuT2qBuK7jhS8CAbTNh9b/PPmfFNFj2WqWXVhohvh58c2cv7hsUAcBX645w48frOXoy28mViYiIiIiIs5U5dIuUq+ZDoeWV5us/XsTYPf/0sRXTYNkrYLE6p7ZScLFaeGpkaz6/vTv+nq5si01l9LurWbY30dmliYiIiIiIEyl0S9UxaRY07AGAdd7dBGQdwrLqTTNwD34WrnjKyQVe3NA29VjwYH86NvQnNTufO77cyFuL92KzV58h8yIiIiIiUn4UuqVq+dtvEBiBYS9g4L4pWFe+Xm0Cd5FGgV58f08fbu0dDsC7Sw9w6+eRnMjIdXJlIiIiIiJS2S5p9vJx48Zd8Hhqaurl1CJiDiG/ezmO1xtjUNg7HLsBjm2BBl2dW9slcHex8tLY9nRvUodnftzB2oPJXP3OKt6b1JWeTQOdXZ6IiIiIiFSSSwrd/v7+Fz1+2223XVZBIkR+hIEDB4YZvA8sMbdWV8PgZyC0g7MrLLVrOzegXX0/7vlmCwcSM5n46Xr+38hW/H1AMwzDcHZ5IiIiIiJSwS4pdH/55ZcVVYeIqXDSNNvAp1mQ0ZbRLmuwbvwYMGDvL+bW9loY9E8Iae3sakuleYgvP93fj3/O3cFPUXG8unAPmw6f5I0bOuHv6ers8kREREREpALpmW6pOopmKR/8LPYBTwBgH1E4iRoOqNsGMGDXT/BBb/jhLkg64NSSS8vb3YX/TOjMy2Pb42a1sHjXcca8u5qdx9KcXZqIiIiIiFQghW6pOuy2c0+adsVT5v6218K9a6DNGMABO76H93vA3HshJdopJV8KwzC4pXc4c+7tQ8M6nsSkZDPuw7XM3BCDw6HZzUVEREREaiKFbqk6Bj9z/lnKr3jKPF6vHUz4Bv6xElqOBIcdts2A97rD/IcgNbZyay6Djg0D+OXBAQxtHUJegZ1nftzB499vIzuvwNmliYiIiIhIOVPoluoprJO5rvddf0DEULAXwJav4J0u8MvjkB7n7AovyN/LlU9v687/G9kaiwE/bjnG2PfXcPBEJgA2u4PI6BQ2JxlERqdonW8RERERkWrqkiZSE6lyGnaHW3+EI+tg+asQvRI2fgZb/gc97oT+j4JPiLOrPCeLxeDeQRF0bhTAgzO3su94Jte8u5qbejZm4Y544tNyACtf799EmL8HL4xpy8j2Yc4uW0RERERELoF6uqVmCO8Dt/8Mty+Axn3AlgvrP4D/doIlz0NWsrMrPK8+EUEsfKg/vZoGkpVn4/PV0YWB+7SEtBzu/WYLi3bGO6lKEREREREpC4VuqVmaDoA7foVbfoQG3SA/G9b8F/7bEf54CU6ddHaF5xTi58HXf+uJt7v1nMeLBpdP/XmXhpqLiIiIiFQjCt1S8xgGNB9qPu89cRaEdoS8TFj1JvynIyx/HXKq3lJdW2JSycq1nfe4A4hPy2FDdErlFSUiIiIiIpdFoVtqLsOAViPNmc4nfAMh7SA3HZa/ZobvVW9BbqazqyyWmJFz8ZMu4TwREREREXE+hW6p+QzDXNv7ntUw/ksIbgk5qfDHi+Yz32vfhbxsZ1dJiK9Hqc5LO5VfwZWIiIiIiEh5UeiW2sNigfbj4L71cN0nENgMspNg8f/BO51h/UeQ77xe5J5NAwnz98C4yHnP//Qnj3y3lfi0U5VSl4iIiIiIlJ1Ct9Q+Fit0mgD3b4Rr3oOAxpB5HBb9P3Od742fQUFepZdltRi8MKYtwFnBu+h9n2ZBGAbMi4pjyJsreOeP/eTkn/85cBERERERcS6Fbqm9rC7Q9VZ4YDOMfhv8GkBGHPzyOLzbDbZ8DbbKHco9sn0YH97SlVD/kkPNQ/09+OiWrsy8uzc/3d+PbuF1OJVv499L9jH0rRX8sj0eh0OzmouIiIiIVDUuzi5AxOlc3KD736DzzbD5K3OCtbQYmP8grPo3DHoaOtxg9pBXgpHtwxjeNpR1BxJZvCqSEQN60ad5CFaL2d/dsWEAc+7pw8/b43lt4W6OpZ7i/hlb6NkkkOfHtKV9A/9KqVNERERERC5OPd0iRVzcodfd8HAUjHgFvILhZDTM/Qe83wt2zAG7vVJKsVoMejUNpFuwg15NA4sDdxHDMLimU32WPj6IR4a1wMPVwobDKYx5bzVP/7CdpMzcSqlTREREREQuTKFb5K9cPaHvA/DwNhg2BTzrQPJ++OFO+Kgf7JpfaeH7YjzdrDwyrCVLHx/ENZ3q43DAdxtjGfzGcj5ZeZC8gqpRp4iIiIhIbaXQLXI+7j7Q/1F4eDsMfhbc/SFxF8y+FT4ZCHt/hSryHHX9AE/emdiF7+/pQ4cG/mTkFvDqwj1c+Z+V/L7ruJ73FhERERFxEoVukYvx8IMrnoJHtsPAp8DNFxJ2wMyb4LOhcOD3KhO+ezQJ5Kf7+zFtfEeCfdyJTsrirq83cdsXG9h/PMPZ5YmIiIiI1DoK3SKl5RkAQ541w3e/R8DVC45thm+uhy9GwqEVzq4QAIvF4MbujVj2xBXcc0UEblYLq/YnMfK/q5gy/09Ssyt/OTQRERERkdpKoVvkUnkFwvCp5jPffR4AFw+IXQ9fXwPTR8ORdc6uEABfD1eeHtWaJY8NZETbetjsDqavPcygN5fz9brDFNj0vLeIiIiISEVT6BYpK58QuPIVeCgKet4NVjc4vAq+HAn/uw6ObnJ2hQCEB3nzyW3d+fauXrSq50tqdj7P//QnV72zitX7k5xdnoiIiIhIjabQLXK5/MLgqjfgoa3Q7Q6wuMDBpebz3t/eCHFRzq4QgH7Ng/nlof68dG07Arxc2Xc8k1s+j+SurzZxOCnL2eWJiIiIiNRICt0i5cW/IYz5Dzy4GTrfAoYV9v8Gn1wB390MCTudXSEuVgu39mnC8icGMblvE6wWg993H2f42yt47dfdZOTkO7tEEREREZEaRaFbpLzVaQJj34cHNkLHCYABexaYa3x/PxlO7HVygRDg5caUa9qx6OEBDGxZl3ybg49XHGLwmyuYvTEWu71qzMYuIiIiIlLdKXSLVJSgCBj3CdwfCe2uM/f9ORc+6A0/3g3JB51bH9Cini9f3dGDLyZ3p2mwN0mZuTz1w3aueX81Gw+nOLs8EREREZFqz6mhe+XKlYwZM4b69etjGAbz5s274PnLly/HMIyztoSEhMopWKQs6raCG6bDvWuh9Whw2GH7LHivB8y7H04edmp5hmEwpHU9fntkIP93dRt83V3YeSydGz5axwMztnAs9ZRT6xMRERERqc6cGrqzsrLo1KkT77///iV9bu/evcTHxxdvISEhFVShSDmq1w5u+hbuXgEtrgSHDaK+gXe7wc8PQ9pRWPYarJh27s+vmGYeryBuLhbuGtCMZU8OYmLPRhgGLNgez5A3l/PvJfvIziuosO8WEREREampXJz55aNGjWLUqFGX/LmQkBACAgLKvyCRylC/M9w8G2I3wvJXzZnON0+HqBkQ2hGOFS411vfR059ZMQ2WvQKDn63w8oJ93HltXEdu7hXOiwt2sSE6hXf+2M/3m2J5elRrrulkjkwREREREZGLq5bPdHfu3JmwsDCGDx/OmjVrnF2OSNk06gG3zoU7foUmA8CWZwZuiwssewXL0qkAWFa9eTpwX/FUpZXXvoE/s+7uzQc3d6VBgCfxaTk8/F0U4z9ax/ajqZVWh4iIiIhIdebUnu5LFRYWxkcffUT37t3Jzc3ls88+Y9CgQURGRtK1a9dzfiY3N5fc3Nzi9+np6QDk5+eTn191l0cqqq0q11iRalX76/eAm+diHF6JZcXrWI5uAMC67l2uwcDAgW3g09j7PgpOuB/DWwczIKIvX6w5wkcrD7H5yEmueW8N47rU5/HhLQjxda+Q761V/wycg9pfu9sPugdqv9p/5s/aqLbfA7Vf7T/zZ1VV2voMh8NRJdYGMgyDuXPnMnbs2Ev63BVXXEHjxo353//+d87jU6ZMYerUqWftnzFjBl5eXmUpVaTiOBzUzdhBm/gfqZN9yNwFxAX05EDIKFK9I5xaXmouLIixsDHJHCTjbnEwvKGdQWEOXKvluBkRERERkbLJzs5m0qRJpKWl4efnd97zqn3ofvLJJ1m9ejXr1q075/Fz9XQ3atSIpKSkC94YZ8vPz2fJkiUMHz4cV1dXZ5dT6Wp7+y2r3sS68nUchT3dReyNemPvdR+OFleCxeq0+rbGpvLKwr1sO5oGQKM6njw9siXD24SU2/Petf2fAbW/drcfdA/UfrW/NrcfdA/UfrW/OrQ/PT2d4ODgi4buajW8/FyioqIICws773F3d3fc3c8e/urq6lqlf4FFqkudFaVWtn/FNFj5OraBT7Mgoy2jLcuxbv4CDAuW2PVYYtdDYDPofR90vhncKn/ERs9mdZl7XzDzoo7xr0V7iD15ivtnbqNvRBDPj2lL69Dy+wutWvnPwBnU/trdftA9UPvV/trcftA9UPvV/qrc/tLW5tQBoZmZmURFRREVFQVAdHQ0UVFRxMTEAPDMM89w2223FZ//n//8h59++okDBw6wc+dOHnnkEZYuXcr999/vjPJFyt8Zs5TbBzwBgH3kNHMSNYcdGvcBD39IOQQLn4C328IfL0HG8Uov1WIxGNe1IUsfH8QDg5vj5mJh7cFkrvrvKv5v3g5SsvIqvSYRERERkarGqT3dmzZtYvDgwcXvH3vsMQBuv/12pk+fTnx8fHEAB8jLy+Pxxx/n2LFjeHl50bFjR37//fcS1xCp1uy207OUnzkxQ9Gs5XYb3DwHor6F9R/AycOw6k1Y+w50vBH6PAAhbSq1ZG93F564shUTejTitV93s3BHAt+sj2F+VByPDGvJrX3CcbXqgW8RERERqZ2cGroHDRrEhR4pnz59eon3Tz31FE89VXlLJolUusHPnP/YmcuF9foH9LgL9iyAte/B0Q2w9Rtzaz7MDN/NBkElrqfdKNCLD27uxvpDyUz9eRe749N5ccEuvo08wnOj2zKoVUil1SIiIiIiUlWo+0mkurJYoe21cNcSuHMJtLkGDAsc+B3+NxY+6g9RM6Ggcod5924WxIIH+/PqdR0I8nbj4IksJn+5kTu+3MDBE5mVWouIiIiIiLMpdIvUBI16woT/wYNboOc/wNUbju+EeffAfzvCqn/DqZOVVo7VYjCpV2OWPTmIvw9oiovFYNneE1z59kpeXrCLtFNVe81FEREREZHyotAtUpMENoWrpsFjf8LQF8A3DDLi4Y+p8O+2sPBJcxK2SuLn4cqzV7flt0cHMqR1CAV2B5+tjmbwm8uZERmDzV4lViwUEREREakwCt0iNZFnHRjwGDy8HcZ+BPXaQ342bPgE3u0Gs26F2A2VVk5EXR++mNyD6Xf0IKKuNylZefxz7g5Gv7uadQeTK60OEREREZHKptAtUpO5uEHniXDParh1njnJmsMOu+fD58Phs+Gw6ydzVvRKMKhVCIseGcgLY9ri5+HC7vh0Jn66nnu/2UxsSnbxeTa7g8joFDYnGURGp6hHXERERESqLafOXi4ilcQwIGKwuSXuhnXvwfbZ5qzns2+DOk2g933Q+WZw96nQUlytFu7o15RrOzfg7SX7+DbyCL/uTOCPPYn8fUBTWoT48q9Fe4hPywGsfL1/E2H+Hrwwpi0j24dVaG0iIiIiIuVNPd0itU1IG7j2fXhkJwx80hyKfvIw/PoUvN0Wfp8C6fEVXkagtxsvjW3PwocH0DciiLwCO+8vO8gjs6IKA/dpCWk53PvNFhbtrPi6RERERETKk0K3SG3lWw+G/B88uguufgsCIyAnDVa/Df/pAHPvgYQdFV5G61A/vr2rFx/e3BXredYVLxpcPvXnXRpqLiIiIiLVikK3SG3n5gU97oIHNsFNM6BxX7Dnw7aZ5lrfX18L+38HR8WFXcMwCPByw3aB73AA8Wk5rDuYVGF1iIiIiIiUNz3TLSImiwVaX21uRzebz33v+gkOLTe3um2gz/3Q8UZwcS/3r0/MyLn4ScCd0zfSr0Vd+kYE0a95MK1DfTHO00MuIiIiIuJsCt0icraG3eCGL+HkEYj8GLZ8BSd2w/wH4I8Xoefd0ONO8Aost68M8fUo1Xm5NgdL9ySydE8iAME+bvSJCKZ/8yD6RgTTKNCr3GoSEREREblcCt0icn51wmHkqzDo/8HmryDyI0g/BstehlVvQedJZu93UMRlf1XPpoGE+XuQkJbDuQaZG0Covwcf3dKNyOhk1hxIZkN0CkmZefy8LY6ft8UBEB7kRd+IYPoVhvBAb7fLrk1EREREpKwUukXk4jz8od9D0Pte+HMerHsX4rfBps9h0xfQ6iro+wA07mMuT1YGVovBC2Pacu83WzCgRPAuuuILY9rSqVEAnRoFcPfACPIK7GyNOcmaA0msOZhMVGwqR5KzOZIcw8wNMQC0DfOjf4tg+kYE0bNpIF5u+s+eiIiIiFQe/elTRErP6godb4AO4+HwavO5732LYO8v5la/qxm+21wL1kv/z8vI9mF8eEtXpv68q8SyYaHnWafbzcVCr2ZB9GoWxGNARk4+G6JTWHMgmTUHkth7PINd8ensik/nk5WHcLUadGlch34RwfRvEUTHhgG4WjWfpIiIiIhUHIVuEbl0hgFNB5jbib2w7n3Y9h3EbYE5fwP/xtD7Huh6G7j7XtKlR7YPY3jbUNYdSGTxqkhGDOhFn+YhWC0X70H39XBlaJt6DG1TDzAnZ1t30Azgaw4kcyz1FBuiU9gQncLbv4O3m5XezYLo2zyY/s2DaVnPR5OyiYiIiEi5UugWkctTtxVc8w4MeQ42fgYbP4W0GPjtn7D8deh2O/S6B/wblvqSVotBr6aBJO920KtpYKkC97mE+HpwbecGXNu5AQ6HgyPJ2aw5mMSaA0msPZhManY+f+xJ5I/iSdnc6dc8iH4RwfRtHkTDOpqUTUREREQuj0K3iJQPn7ow+Bno/whsn2X2fiftg7XvwvoPod110OcBqN/ZKeUZhkGTYG+aBHtzc69w7HYHu+LTWXMgidUHkth4OIWkzFx+iorjpyhzUrYmQV7FveB9mgVRR5OyiYiIiMglUugWkfLl6gndJkOX2+DAEjN0H14FO743tyYDzPDdYoS5NriTWCwG7Rv4076BP/+4IoLcAhtbjqSytrAnfNvRNA4nZ3M4OYYZkTEYBrSr71fYCx5MzyaBeLpZnVa/iIiIiFQPCt0iUjEsFmh5pbnFRZmTru380Qzgh1dBcEvofR90uskM6k7m7mKlT0QQfSKCeHxEKzJy8ok8lMLqA0msPZjEvuOZ7DyWzs5j6Xy88hBuVgtdGgfQv7kZwjs19MdFk7KJiIiIyF8odItIxavfGa7/DIZNMdf63vyVOfR8wSOw9GXocZe5bfwMLFa44qmzr7FiGtht5hD2SuDr4cqwtvUY1rZwUrb0HNYWT8qWRFxaDpHRKURGp/DWkn34urvQq1kgfSOC6d8imBYhmpRNRERERBS6RaQy+TeEES/DwKdg6/9g/UfmpGsrXofVb0NIG4iPMs/t++jpz62YBstegcHPOqVsgBA/D8Z2acDYLuakbIeTs81e8MJJ2dJO5fP77kR+321OylbX151+EebM6P2aB9MgwPm9+SIiIiJS+RS6RaTyefhBn/uh5z9g90+w9j1zubGiwL3sFSzJh8AyEsuqN2Hl62bgPlcPuBMYhkHTYG+aBntza+9wbHYHu+LSi2dG3xCdwomMXOZFxTGvcFK2psHexTOj94kIIsDr/JOy2ewOIqNT2JxkEBSdUuol00RERESk6lHoFhHnsbpA++uh3TiIWWeG770LAQfW7TO5hpkYABFDoUl/yMsGt6q3jJfVYtChoT8dGvpzzxUR5OTb2BJzkrUHkll9IIntR1OJTsoiOimLb9abk7K1r+9P3+ZB9G8eTPfw05OyLdoZz9SfdxGflgNY+Xr/JsL8PXhhTFtGtg9zbkNFRERE5JIpdIuI8xkGhPc1t6QDsP4DHJs+p7hv9+Af5mZYIaQtNOwGDQq3uq3N58CrEA9XK30jgukbEcwTV7Yi7VQ+kYeSi58J35+YyY5jaew4lsbHK8xJ2bqF16Gurxvzt8Wfdb2EtBzu/WYLH97SVcFbREREpJpR6BaRqiW4OfiGYgB2rFiwmTOd56RDZgIc32Fum6eb57t6Q/0uZwTx7uBX3wzyVYS/pysj2oUyol0oAMfTc1h7MInV+5NZezCJ+LQc1h1KPu/nHYABTP15F8PbhmqouYiIiEg1otAtIlVL4aRptoFPsyCjLaN9d2Eteqa7881wbPPpLW4r5GXCkdXmVsQnFBp2hwZdzSBev6v5HHkVUc/Pg+u6NOS6Lg1xOBwcSsri2/VH+GLN4fN+xgHEp+Uw9v3VdG5UhybB3jQN9qJJkDeNAr1w1XJlIiIiIlWSQreIVB1nzFJu7/soLFyIfcATWK1Wcz+Yk6m1vcZ8bbfBib2FIXyT+fP4LrNHfM8CcwPAMHvLi4N4d6jXDqyuTmnmmQzDIKKuD50aBZTq/B3H0tlxLL3EPqvFoGEdT5oEmZO7NQnyIjzYm6ZB3jSs46n1w0VEREScSKFbRKoOu+30LOX5+af3F81abreVPN9ihXptza3rrea+vGyI31YyiKfGQNJec4v61jzPxQNCOxYG8cKh6XWaOG1YeoivR6nO+8fAZlgsBocLJ2Y7kpzNqXwbR5KzOZKczYp9J0qc72IxaBToRZMgr8Lece/icF4/wFND1UVEREQqmEK3iFQdg585/7HSLhfm5gXhfcytSGYiHNtSMojnpMHRDeZWxCvodAAv2rwCy9aWS9SzaSBh/h4kpOXgOMdxAwj19+Cpka1LBGWHw8Hx9Fyik7I4nJxVHMYPJ5uBPLfAXjxzOntLBnI3q4VGgZ7FQbw4lAd7E+bngUWBXEREROSyKXSLSM3nEwKtRpobgMMByQfPeD58EyTsgOxk2L/Y3IrUaXpGb3h3CO0ArqXrlb4UVovBC2Pacu83WzCgRPAuir4vjGl7Vs+0YRiE+nsQ6u9Bn4igEsfsdgfx6Tmng3hhGI9OyiI25RR5NjsHT2Rx8ETWWfW4u1gID/I6PWT9jB7yen7uGFVoojoRERGRqkyhW0RqH8MwZ0kPbg6dJpj7CnIhYWfJ3vDkA3Ay2tx2fG+eZ3GBeu1LBvGg5mC5/OemR7YP48Nbup6xTrcptIzrdFssBg0CPGkQ4Em/5sEljtnsDuJST53RO55d/Domxewh33c8k33HM8+6rqerlfAgr+Iw3rSwl7xJsBd1fS4jkC97DSxWbAOeJDI6hc1JBkHRKfRpHoJ11RuFjx9cYDSEiIiISBWk0C0iAuDibi471rAbcLe579TJwmHpW8wgfnQTZCdBfJS5bfzMPM/dHxp0OWNYenfwrVemMka2D2N421DWHUhk8apIRgzoZYbOch7qbS181rtRoBcDWtQtcazAZudY6qkzesezi4esHz15ilP5NvYkZLAnIeOs6/q4u5g95GeE8aJZ1gO93S4cyC3mhHmfrzzIq1nXAFa+3r+Jf3rP527bd+bz/iIiIiLVjEK3iMj5eNaB5kPNDcxh6akxf1m2LApy0+DQcnMr4tew5NrhYZ3A3adUX2u1GPRqGkjybge9mgZW+mRnLlYL4UHehAd5Q6uSx/IK7Bw9mV04TD27xJD1Y6mnyMwt4M+4dP6MSz/rur4eLn95fvz08PUALzcWBd3Krvy9PMZ3ZFgLeNc2jgetP3K3bQ7/zh9P26BbGVlJ90BERESkvCh0i4iUlmFAnXBzaz/O3GcrgMRdJYN44m5IPwq7jsKunwo/a4G6bUoG8bqtwXrGf4YLh1efc9K4FdOqxPBqNxcLzer60Kzu2X+BkFtgIzYl+3QYT0on7sRJjiefJDU9A4/cPAqO5XH0WB4njHy2k4cH+XiQRx23Aiy2XFxxYa2tDY+7zuFhlx9xMey8lT+e92zjCP15F8PbhmrGdREREalWFLpFRC6H1QXCOppb9zvMfbkZZg948fPhWyD9GCT+aW5bvjbPc/WC+l1Orx2elwnr3jOP9X309HecsX55mdntUJBjbvmnznidAwWnLvLzL587z0/3/ByaF5gb+afAfsayb6WZe85auBVyMew4HBBspFGXk8Sn1WH9oeSznk8XERERqcoUukVEypu7LzQdYG5F0uNLzpZ+bCvkZcCRNeZWxNUblr2CNXoVDRztsHz/HexbCBFDzZ72P166cAA+X5C25Vb+fTiT1Q1cPM2Z310KN1cPcPHEZnUnNsPBzsQ8cnCjBUfpZD2E3WFgMRzc7rKECdblfGUbwZNfZdKuRQR9mgXRJyKIVvV8tbSZiIiIVGkK3SIilcEvDPxGQ5vR5nu7HZL2lQzix/+EfHP5LsvhlXRn5enPH/zD3MqDxeWMAFz00/0c+/76sygse1745xmBuvhzFut5y7EC8QeTeeDT9Txo/ZHxrit5K38879rGMc3lI250WYmHkc8/XH7hZscffLFvJP/ZdTUv4k0dL1d6FwbwPs2CaB7io+XMREREpEpR6BYRcQaLBUJam1uXm819+acgfjsc24xj8bMYDjsODIw2o8sxAHuWfI68iujZNLBwlvI5xYEb4KmCe4h1hPC46xxOUIe6xkkecpnHna6/86ntaj7NHsGvO/P5dWcCAME+7vRuFlgcwpsGeyuEi4iIiFNVvT95iYjUVq6e0LgXRK/AcNixGS5YHQUQ2vHck6vVIFaLwZCWQfx7uzlp2pnes43DAK7pWI+6HfvA0lfwPrGbRyyzuN9/CZH1b+PT3CGsj8kmKTOXBdvjWbA9HoBQP4/iEN43IphGgV5OaJ2IiIjUZgrdIiJVSeGkabaBT7Mgoy2jfXdhXfaKeayGB+/mE16lbbt4Qn/eRXxaTvH+UH8P2o55mebtw8wdra6CP+fCsldxTTlI/+j/0N/nO/JHP86WoNGsPZzJukPJRMWkkpCew7yoOOZFxQHQIMCzuBe8T0QQ9QM8ndFUERERqUUUukVEqoozZim3930UFi7EPuAJrFaruR9qfPAe2T6M4W1DWXcgkcWrIhkxoBd9moeUXCbMYoUO46HtWNg2E1b8C9JicV30JL3836XXFU/x6JCJ5NgNNh85ybqDyaw7lMy22FSOpZ5izuajzNl8FIDwIK/iAN6nWRAhfqWZZl1ERESk9BS6RUSqCrvNXBbsiqcg/4zltoqCtt3mnLoqmdVi0KtpIMm7HfRqGnj+dbmtLtD1Vuh4o7kM28o3IS0G5j8Aq9/GY9Az9Gs/rniJsazcAjadEcJ3HE3lSHI2R5Kz+W5jLADN6noXh/DezYII9nGvrGaLiIhIDaXQLSJSVQx+5vzHangP92VxcYeef4cut8DGz2H1vyHlIPx4F6x6Cwb/E9qMwdvdhSta1uWKlnUByMjJZ+PhlOIQ/mdcOodOZHHoRBbfRsYA0LKeT3EI79U0iDrebs5sqYiIiFRDCt0iIlIzuHpC3weg2+0Q+TGsfQdO7IbZt0JYJxjyHDQfZq53Dvh6uDKkdT2GtK4HQFp2PpHRZgBfdzCZPQkZ7Dueyb7jmXy17giGAa1D/YpDeM+mgfh7ujqzxSIiIlINKHSLiEjN4u4LA5+AHnfBuvdg/YcQvw2+HQ+NesGQ/4OmA8/6mL+XKyPahTKiXSgAKVl5RB46HcL3J2ayOz6d3fHpfLEmGosB7er7Fz8P3qNpID7u+t+qiIiIlKQ/HYiISM3kGWAG7F73wJr/wIZPITYSvhpjhu4hz0Gjnuf9eKC3G6M6hDGqgzlr+omMXNYXhvD1B5M5lJTFjmNp7DiWxicrD2G1GHRo4E/fCLMnvHt4IJ5u1sppq4iIiFRZCt0iIlKzeQfDiJehzwPmM96bvoTolfD5cGgxwpy8rn7ni16mrq87YzrVZ0yn+gAkpOWYIbzwmfCYlGyiYlOJik3lg+UHcbUadG4UQJ9mQfSOCKJr4zp4uJYuhNvsDiKjU9icZBAUnXL2DO4iIiJSbSh0i4hI7eAbCle9AX0fhJVvwNZvYf9ic2tzjTnhWkibUl8u1N+DsV0aMLZLAwCOnsxm/aEU1h5MYv3BZOLScth4+CQbD5/knaUHcHOx0LVxAH2aBdMnIojOjQJwc7Gcdd1FO+OZWrxWuZWv928izN+DF8a0ZWTRWuUiIiJSbSh0i4hI7RLQGK55F/o9Yq7xvX027J4Pu3+GDjfAoKchKOKSL9uwjhfju3kxvltDHA4HMSnZxb3g6w4mk5iRy/pDKaw/lMLbv4OHq4Xu4YHFy5N1bOjPH7uPc+83W3D85doJaTnc+80WPrylq4K3iIhINaPQLSIitVNQBIz7BPo/Cstfg10/wY7ZsPMH6DzJXKYtoHGZLm0YBuFB3oQHeXNTz8Y4HA4OJWUVh/DIQ8kkZeax+kASqw8kAeDlaqHAwVmBG8x9BjD1510MbxuqoeYiIiLViEK3iIjUbiFt4MavIS4Klr0K+3+Drf+Dbd9Bt8kw4HHwu7zeZcMwiKjrQ0RdH27pHY7D4WB/YqYZwg8msz46mdTs/AtewwHEp+WwITqFPhFBl1WPiIiIVB6FbhERETAnU7t5NsRugKUvQ/QK2PipGcB7/t0cju4dXC5fZRgGLev50rKeL7f3bYLd7uCjFQeZ9tvei372oe+20j28Dq1CfWkd6kebMF8a1fHCot5vERGRKkmhW0RE5EyNesLt880Zzpe+bC4ztvZdc9bz3veas6B7BpTrV1osBl0a1ynVuScycvl1ZwK/7kwo3uflZi0RwluH+tEq1Bd/T9dyrVNEREQunUK3iIjIuTQdCH/7DQ78AUtfgvgoc9bzDZ+YM6D3ugfcfcvt63o2DSTM34OEtJxzPtdtACF+7rw5vhN7j2ewJyGDPQnp7DueSXaeja0xqWyNSS3xmfr+HrQO86N1qC+tw/xoE+pL02BvXKxnz5ouIiIiFUOhW0RE5HwMA1oMg+ZDYc8CWPoKnNht9oCv/9CchK3HXeDqedlfZbUYvDCmLfd+swWDkhOqFQ0cn3pNOwa0rMuAlnWLjxXY7BxOzjJDeLwZxHfHZ3As9RRxaTnEpeWwdE9i8fluVgvNQ3xoHeZLm1A/Whf2jNf1db/sNoiIiMjZFLpFREQuxjCgzRhodRX8OdeccC3lICz+P1j7Hgx8ArreBi6XF1xHtg/jw1u6nrFOtyn0Aut0u1gtNA/xpXmIL6M7nt6fdiqffccz2BOfzu6EDPYmmK+z8mzsik9nV3w6cKz4/GAft+Jh6a1DfWkT5kfzEB88XK2X1aZLsuw1sFjNmeP/asU0sNtg8DOVV4+IiEg5UOgWEREpLYsVOoyHtmNh+3ew/F+QFgMLn4A175hhsdNEsJb9f68j24cxvG0o6w4ksnhVJCMG9KJP85BLXibM39OVHk0C6dEksHif3e7gWOopdsenFw9P3xOfQXRy1llLmIHZ+9402Ls4hLeq50vrMF8aBHhiGBUwcZvFCsteMV/3ffT0/hXTzP2Dny3/7xQREalgCt0iIiKXyuoCXW6BDjfC1q9h5Ztm+J7/AKx+GwY9A+3HmSGyLJe3GPRqGkjybge9mgaW27rcFotBo0AvGgV6MaJdaPH+U3k29ieaw9N3Fwbx3QnppGbncyAxkwOJmSzYHl98vq+Hi/mc+BnD01uF+uLjfpl/rLjiKbDlw7JXsCTuxcfeA8uqN2Hl62bgPlcPuIiISBWn0C0iIlJWLm7mM92db4aNn8Pqf5vDzn+8C1a9BYP/aQ5Lr4he4XLk6WalY8MAOjYMKN7ncDhIzMgt7hXfm5DB7vh0Dp7IJCOngI2HT7Lx8MkS12kU6GnOoF44cVvrUF/Cg7zP/kuDnHRIOQQno82fKdGF2yHIiAPA+ucchjIHdoO9xQgsPe6q6NsgIiJSIRS6RURELperJ/R9ALpNhsiPYO075oRrs2+FsE4w5DloPqzKh+8zGYZBPT8P6vl5MKhVSPH+vAI7h5IyS/SK70lI53h6LrEpp4hNOcWSXQkEkkG4cZzmrol09T5JS7ckGpFAnZyjuOamXPC7M/HCy5FNUVa37F+M/Y2WWFpdaQ7fbzHC/AsPERGRakChW0REpLy4+5iTqvW4C9a9D+s/gPht8O14aNQLhvyfuRRZNebmYjGHlYf4MDbCgJRkSInj1PEDZCXsh5RofLJi8LBnnf7QqcLtDCn4kezWkFzfxliDI/Br0IpDtro8/FsaN1t/53HXOeQ5XHAzCjhuD6CeJdWcQX7PAvAMNJ+t7zQR6nepVn+ZISIitY9Ct4iISHnzDIAhz5prea/5D2z4FGIj4asxZuge8hw06unsKi/OVgBpsWcMBT9jOPjJaCg4PcO6Z+F2JodfA3J8G5Pk2oDDjnrsOhXEhvQAIlP9yMQLcoCiSdS3ATh4sDBwv5U/nndt43jQ+iOPu87h64LhWN29mOS5HiPzuLle+oZPILgVdJ5oPl/v36Cy7oyIiEipKXSLiIhUFO8gGPES9LnffMZ705cQvRI+H24OkR78LNTv7Nwa83Mg9cgZgfqMZ61TY8BecP7PGlYIaAyBTSGwmbnVKXxdJxzD1RNPoFHhNgD4B5CZW2AuYXbG8PSdx9K4yz6nROAGin8+7jqHt3LGM9rnY65ptI8B2b/T8uQKXJL2wu9TcPw+FZpdgdFpErQZDW7eFXzjRERESkehW0REpKL5hsJVb0DfB2HlG7D1W9i/2NzaXGNOuBbSpuK+PzfjdO908cRlhT/TjwGO83/W6m6G6qIwHdj0dMj2bwRW10sux8fdhW7hdegWXqd4309bjxH9w+wSgbtI0XurYefP49n8ebwhrzEZX27kKmsk46yr6GXZA4eWw6HlnJrnyU7/QRxucA328L6EBXhTP8CDMH9PvC93hnUREZFLpP/ziIiIVJaAxnDNu9DvEVjxL9g+G3bPh90/Q4cbzGHp3nXPvTTWimlgt8HgZ84+5nDAqZOnw/TJM3qtU6IhK/HCdbn5QmCTs3urA5uCb32wWMqh8RcW4ufBwwXjz3u8KHg/MDgCb3dX4tNOEZeaw860UJakXYl3dizjLKsZZ11FuCWRHqm/0iP1V47uDGaurT8v2AYQ7QjDz8OF+gGe1A/wJMzfo/hnmL8n9QM8CPX3wN2lbEu9iYiInItCt4iISGULioBxn0D/R2H5a7DrJ9gxGzAAB+SkwpCpp89fMQ2WvQJ9H4Ija0v2VhcF7Jy0C3+nZ+DpUF3UU10Urr2DnT4ZWc+mgYT5e5CQlnPOfncDCPX34NHhrc65bnlOvo34tAkcO5nNwei1hByaS/PExTS0J/GgyzwedJnHZnsLfswfwM8JvdmT4HPeWoJ93AjzPx3Ki3rJi36G+LrjYq24v4iw2R1ERqewOckgKDqFPs1Dym2tdhERqXwK3SIiIs4S0gZu/BriomDZq7D/N3P/uvexHl5DW1sY1o9ehuR9YHE1lyJb+875r+cbdkaYPqO3uk5Tsxe9CrNaDF4Y05Z7v9lS9FcPxYri5gtj2p43fHq4Wmka7E3TYG9ocS1wLeSfgr0LIWomHPyDbpb9dLPs5yX3/3E0ZBCbA0ay1ujCsfR84tNyiEs9RW6BnaTMPJIy89hx7Nx/kWG1GIT4ups95AGe1C/uMT8dzIO83bCUISgv2hnP1J93EZ+WA1j5ev8mwvw9eGFMW0a2D7vk64mIiPMpdIuIiDhb/c5w82yI3QBLX4boFVjio2hB1Olz7PlgWMznqM/VW12nCbh5OakB5WNk+zA+vKXrGaHTFFrW0OnqCe2vN7eMBNjxPUTNxJL4J40TltA4YQnXedc1h/aPvglHvYGcPFVAXOop4tNyioewm+/N18fTcyiwOwqP50BM6jm/2s1qIdTfo+QQ9jMCen1/T/w8XTDOGGGwaGc8936z5aye/oS0HO79Zgsf3tJVwVtEpBpS6BYREakqGvWE2+dD9EocX1+L4bDjMKwYk2adnrjMxc3ZVVaoke3DGN42lHUHElm8KpIRA3qVz/Bq31BzIru+D0L8dtj2nTmkP+uEuZ76+g8wQtoS2GkigR1vpH2D0HNexmZ3kJSZWxzMzwzox1JziE89xYnMXPJsdmJSsolJyT5vSV5u1uJQXs/PnUU7j59zaL0Ds7d/6s+7GN42VEPNRUSqGYVuERGRqiZmPYbDjs1wweoogLit0GK4s6uqNFaLQa+mgSTvdtCraWD5h8ywjuY2fCocXApRM8xh6Im7YMlz8PsLEDEEOk2E1lebPeZn1FbPz4N6fh50Oc/l8wrsHE/PKdFb/tde85PZ+WTn2Th4IouDJ7IuWrIDiE/LYUN0Cn0igsrnPoiISKVQ6BYREalKCidNsw18mgUZbRntuwvrslfMY+ea1VzKzuoKLa80t1Mn4c+5Zg94bCQc+N3c3P2g7bXQeRI07lOqCefcXCw0CvSiUeD5h/ufyrMRn3a6t3zZnkQW7ky46LX/tWgPN/VoRP8WwTSsU70fJxARqS0UukVERKqKolnKBz+Lve+jsHAh9gFPYLVazf2g4F1RPOtA97+ZW/JBM3xv+w7SYmDr/8wtINzs/e40wRzufzlf52alWV0fmtU1Z1FvWMerVKE7KjaVqNhUAJoGe9OveRD9m9elT0QQ/p6Xvma6iIhUPIVuERGRqsJug8HPmsE6P//0/qKgbbc5p67aJigChjwLg56BmLXm7Oe75kHqEVjxurk17gOdboJ214GH/2V/ZWmWTAv0dmNSr8asPZhMVGwq0UlZRCdl8c36GCwGdGoUQP/mwfRvHkyXxnVwc6n49dVFROTiFLpFRESqisHPnP+Yergrn8UCTfqb21VvwJ5fYNsMOLQcYtaZ26//D1pdZQ4/bzYYrGX7o1Vplkx75br2jGwfxuNARk4+6w+lsHr/CVYdSOLQiSy2xqSyNSaVd5cewMvNSu9mQWYIbxFMixCfEjOli4hI5VHoFhEREbkYNy/oeIO5pcfB9tmwbSac2AN//mhuPvXM5cc6TYTQ9pf8FZeyZJqvhyvD29ZjeNt6AMSlnmL1gSRW709izYEkkrPyWLonkaV7EgGo5+dOv+bBDGgRTL/mwYT4elzmDRERkdJyauheuXIlb7zxBps3byY+Pp65c+cyduzYUn12zZo1XHHFFbRv356oqKgKrVNERESkmF996P8I9HsY4qMKlx/7HjKPw7r3zC20gxm+O9wAPiGlvnRZl0yrH+DJjd0bcWP3RtjtDnYnpLN6fxKrDySxITqF4+m5/LjlGD9uOQZAq3q+9G9h9oL3ahqIl5v6YUREKopT/wublZVFp06d+Nvf/sa4ceNK/bnU1FRuu+02hg4dyvHjxyuwQhEREZHzMAyo38Xchr9kzna+bQbsXQQJO8xt8XPQfBh0nggtR4HrxXuYL3fJNIvFoF19f9rV9+cfV0SQk29j85GTrNqfxOoDJ/gzLp29xzPYezyDz1dH42o16Nq4DgNaBNO/RV06NPDXWuAiIuXIqaF71KhRjBo16pI/d8899zBp0iSsVivz5s0r/8JERERELoWLG7S+ytyyU2DnD2YP+LFNsP83c/Pwh3bjzB7wRj1LtfxYefBwtdKvuTmsHFqTkpXH2oPmUPRV+5M4lnqKyOgUIqNTeHPxPvw9XekbEWT2hDcPJjzIu1LqFBGpqardWKIvv/ySQ4cO8c033/Dyyy87uxwRERGRkrwCoeffze3EPtj+HWybBelHYfOX5hbYzAzfHSdAnXDzc8teA4v13JPmrZhWOLv9BSbbK6VAbzdGd6zP6I71cTgcHEnOZtWBJFbvP8Hag8mkncrn150J/Fq4hFmjQE/6N6/LgBbB9I0IIsDL7bJrEBGpTapV6N6/fz9PP/00q1atwsWldKXn5uaSm5tb/D49PR2A/Px88s9cjqWKKaqtKtdYkWp7+0H3QO1X+8/8WRvV9ntQY9of0BQGPgMD/h/GkdVYts/C2LMAI+WQufb6slewN+6LvcMEjIJcrGvexmazkd/7YcBsv2XVm1hXvo5t4NPYK+B+NPB346Zu9bmpW30KbHZ2xKWz5kAyaw+lsDUmldiUU8zcEMPMDTEYBrSv70e/iCD6RQTRpXEA7hWwNFmN+f1fhtp+D9R+tf/Mn1VVaeszHA7HuZaDrHSGYVxwIjWbzUbv3r258847ueeeewCYMmUK8+bNu+BEalOmTGHq1Kln7Z8xYwZeXl7lUbqIiIhIqVltOdRP3USjlNUEZ+7GKFwgrMBwI8u9Hv45sewOvY59YdfRMmEebeJ/ZHfYOPaFjq30WnNtcCDdYG+qwd40g4RTJYfEu1ocRPg6aBXgoJW/g/pelTZqXkTE6bKzs5k0aRJpaWn4+fmd97xqE7pTU1OpU6cOVqu1eJ/dbsfhcGC1Wlm8eDFDhgw563Pn6ulu1KgRSUlJF7wxzpafn8+SJUsYPnw4rq6uzi6n0tX29oPugdqv9tfm9oPuQa1pf9pRLDvnYNnxHUbygRKHHBgYOLB1vQP7iFfA6vxh3cfTc1h7MIU1B5NZezCZE5l5JY4H+7jRt1kQfSMC6dc8iFC/si1NVmt+/xdQ2++B2q/2V4f2p6enExwcfNHQXW2Gl/v5+bFjx44S+z744AOWLl3KnDlzaNq06Tk/5+7ujru7+1n7XV1dq/QvsEh1qbOi1Pb2g+6B2q/21+b2g+5BjW9/cFMY9CRc8QQc22Ku/b1zDpw6WdwDbt3yJdaob6BuawjraC5HFtoB6rUHz4BKLbdhkCs3BvlyY89wHA4H+45nsmr/CVYfSCLyUApJmXnM3x7P/O3xADQP8aF/4frgvZoF4eN+8T962uwOtkSnsDnJIOhoRqmWTKvJavy/Axeh9qv9Vbn9pa3NqaE7MzOTAwdO/61udHQ0UVFRBAYG0rhxY5555hmOHTvG119/jcVioX379iU+HxISgoeHx1n7RURERKoVw4CG3czNKxBW/Ku4pxsXdyjIheM7zO1MAeGFIbwwjId1BL8GlTLG2zAMWoX60irUl7sGNCO3wMaWI6msOZDEqgNJ7DiayoHETA4kZjJ97WFcLAZdGgfQv3ld+rcIplNDf1ysJZ8HX7Qznqk/7yI+LQew8vX+TYT5e/DCmLaMbB9W4W0SEakITg3dmzZtYvDgwcXvH3vsMQBuv/12pk+fTnx8PDExMc4qT0RERKRyrZgGK/6FbeDTLMhoy2jfXVhXvg597ofGfU+v/52wA9JiIPWIue1ZcPoannXOCOKFYTy4JVgr9o997i5W+kQE0SciiCeubEVadj5rD5oBfM2BJI4kZ7Px8Ek2Hj7J27/vw9fdhd4RQeb64M2D2ZuQwX3fbuGvzz0mpOVw7zdb+PCWrgreIlItOTV0Dxo0iAs9Uj59+vQLfn7KlClMmTKlfIsSERERcYYV08wZzQc/i73vo7BwIfYBT5jz2Sx7BTwCSi4Zlp0Cx3eeDuHx2+HEHjh1EqJXmlsRqzvUa1uyV7xeO3D3rbDm+Hu5MqpDGKM6mEE5NiWbVfuTWH3gBGsOmEuTLdl1nCW7jgNgMTgrcIO5zwCm/ryL4W1Da/VQcxGpnqrNM90iIiIiNZrdBoOfNdfpPnMZmqJ1u+22kud7BULTgeZWJD/HDN4JOyBhe+HPnZCXAXFbza2YYa4XXvSMeGhHc3i6T70KGZ7eKNCLSb0aM6lXY2x2BzuPpbH6QBKr9yex8XAKBfbzd8Q4gPi0HB6auYWW9fzw8XDBx92Kj7vrOV6bW3UO5za7g8ii59qjU2r9c+0i1Z1Ct4iIiEhVcGYv9l8VBe+LcfWA+p3NrYjdDqmHzZ7wM4enZ8RBykFz2zXv9PnedUsG8dCOEBQBFivlxWox6NQogE6NArh/cHO+3xTLk3O2X/Rzv+xI4JcdCaX6Dk9Xa4kQ7uPugre7C75F+y5w7MzXXm5WjEpcB03PtYvUPArdIiIiIjWZxWL2aAc2g3ZjT+/PPGFOzFY0ND1hByTvh6wTcHCpuRVx8TSHoxfPnt4RQtqCm1e5lNiwTumuM7pjGH6ermTmFJCZW3D65xlbXoEdgFP5Nk7l2ziRkXuRq16YYYCP2+mQ/tdw7lP4vsRrt7+E+sLX7i6WCwb4RTvjufcbPdcuUtModIuIiIjURj51wWcIRAw5vS8vGxJ3Q8K20z3ix/+E/Gw4tsncihgWCGpxulc8rLBX3Dv4kkvp2TSQMH8PEtJyzvlctwGE+nvw35u6XHSYdW6BjaxcG1m5BWQUh/J8MnNthSG95OusXBsZuQVk5uSTmVtgvi98bXeAwwEZuQVk5BZccrv+ytVqFIfzvwZyLzcrv2yP13PtIjWQQreIiIiImNy8Ti9dVsRug+SDZzwjvt3sGc9OgqS95rZzzunzfcNKTtgW2gHqNDV73M/DajF4YUxb7v1mCwYlJ1QripcvjGlbqrDp7mLF3cVKoLfbJTX9rxwOBzn5djJy88nMKQzjha/NcF5QGNb/8jrP/Hnmsaw883n8fJuD1Ox8UrPzL/Lt56gH87n2OZtjub5rw7OWWxORqkuhW0RERETOz2KFui3NrcN4c5/DAZnHC4emn9ErnnIQMuLNbf/i09dw84F67c8Ynt4B6rYxn0EvNPLEdBZ3zea2g4MKn2c2hfp78HXEclqc2A5c4Ln3cmYYBp5uVjzdrIRc5iTvNruDrDwzgBcF8jNfZ+YUsOlwCgt3Xvx59f/3ww5emP8n7er707GhP50aBtChoT9Ng7yxqAdcpEpS6BYRERGRS2MY4Btqbi2Gn96fm2EORz9z9vTjuyAvE2LXm1sRiwsEtzodwtNiabHrW9YM8mFt/cksXhXJiAG96Bs3Hcvyd8yZ3aspq8XAz8MVPw9X8D/3OW3C/EoVuj1cLeTk29l85CSbj5ws3u/r4UKHBv50bBhAx4ZmIG8Q4Fmpk8CJyLkpdIuIiIhI+XD3hca9za2ILR+S9p8RxAvD+KmTkPinuW3/rvh0y/JX6Rs4m7qubWm+aSaWfQuh933Q/1EnNKjylPa59pVPDuZISjbbj6ay/Wga24+m8mdcOhk5Baw9mMzag8nFnwnydqNDQzOId2roT4eG/oT4epzj6iJSkRS6RURERKTiWF2hXltz6zTB3OdwQPqxM5YxK/yZegQAS8oBWnEAjhdeY/0HEPkR+NaHgMZnbI1Ov/ZrCC6X9xy3M5X2uXZXFwvNQ3xoHuLDuK4NAci32dl3PKMwhJtBfG9CBslZeSzfe4Lle08UXyvM36OwJ7ywR7xBAP5erpXWTpHaSKFbRERERCqXYYB/Q3NrfdXp/adS4fhOHF9dg+Gw4cDACIqA1Fiw5UL6UXOLWXuui4JfYSj3b/SXcN7Y/C4X98pqYZmMbB/Gh7d0PWOdblPoRdbpdrVaaFffn3b1/ZnY09yXk29jd3w624+msa2wV/zgiUzi03KIT8vhtz+PF3++SZDXGcPSA2jfwA8vN8UEkfKif5tEREREpGrwDIAjazEcNmyGC1ZHAXScAAOegKxESI0595YWCwU5Zu95+jFg3TkuXvgc+l/DeEBj8C8M5a7OH3o9sn0Yw9uGsu5AYvFz7X2ah1zyMmEerla6NK5Dl8Z1ivdl5haw81jaGUPT04hJyeZwsrnN3xYHgMWA5iE+xcPSOzYMoHWYL+4u1nJtq0htodAtIiIiIlXDimmw7BVsA59mQUZbRvvuwrrsFfPYFU+ZoblRz7M/53BA1onCEH7kjEAee/p1wanTM6vHRp77+33OFcobQUB4YSj3rLi2n8FqMejVNJDk3Q56NQ0st3W5fdxd6N0siN7Ngor3nczKY/uxNHYcTWVb4dD04+m57Dueyb7jmczZfBQw1xhvHepXYsb0FiE+WrpMpBQUukVERETE+QoDN4Ofxd73UVi4EPuAJ7BareZ+MIP3uRgG+ISYW8PuZx93OCAr6XQoT4s9u7c8PxsyE8zt6IZzf49PvTN6x4uGsIefDueVFMrLUx1vN65oWZcrWtYt3nc8Paf42fBtR81AfjI7//+3d+fRUZX3/8Dfd2Yyk8lkXyaZCSQkBLOxVIRiQMtXQYRaUKui/iJFqcevNirQiiiWggeRxV+1bo3FUnoqolWPWKUgBhojWEiAGEwghtUAWZiEkEkyySRh5n7/uFlmyMaSuTdh3q9znpPkzvZ5BtB559lQWGZFYZkV7+eeAgDofdRINQdiVFsQHz0kCMN4dBlRFwzdRERERKQ8p0M6Fmzys0Bra+f19qDtdFz5cwsC4B8htSE3dL1dFIHGcz1PX689BbTapLPJG84CZ/Z1/zoGo/vmbq6hPGgooPXrvc7sVdK56N39ciFnbdt75PmzyiMDfXFbii9uS4kEAIiiiDPnm3DwTC0K29aIF5XVoaH5AvaXnsf+Ho4ua98x/XKPLnM4ReSerMGBagFhJ2uuaHo90UDC0E1EREREyustTPY0wt1fBAEwhEstemzX20VROuLMbeq66/T1UukscptFamUHun8dv/Du15S3h3KVy6j+RJcj0lxmAShBEAQMDfXD0FA//GK0GQDgdIo4UW3rWB9+8EwtDvdydNnoIUEY5bJGPCKg+03tviyqcNlITo1/HN0PUx8byRENdAzdRERERES9EQTAL1Rq5uu73t4Ryl02drt4pLy5Dmisllp5fvev4xcGBJiA7JVQH81CjGoUVFt3AN/9o3MWwAChUgl9HF0mhfH2o8uyS6qQ7XJ0mTnI1+UMcWmN+J7j1XhiY36Xc8orrXY8sTEfmQ+NZfCmQYmhm4iIiIjoariF8p90f5+m2h52Xm/7ardKU9zbqM7k4XrkAafaLhRsAsoLpPPOjW0tbLh0DvoA4X50WQwA6eiywxV1HdPS248uK7faUX7R0WVqldAlcAPSmeUCgBe/OIzbUqI41ZwGHYZuIiIiIiJP0wdLzTS6+9ubat1GyMXtSyCIzo7AifMnpVby787HqLVA+HVtITwZiEyVvgYNlX4RMAD4+qgxNiYEY12OLqu3t+JQeZ3LRm3S0WUOZ3eRWyICqLDaseCf3+GGmBBEBelhCvKFKcgXYf46BnEa0Bi6iYiIiIiU1h7Ko0YBOWshiM7Os8onLQCG3wpYDkvt7GHAUixt7na2SGqutAFtIdxlVNyYAhjCunlh+QX4+nQ5umxTbimWbC7q5VGSLw5W4IuDFW7XNCoBkYG+iAqSmqnte1OQHlFBvjAH+yLCX8fjzUgxDN1ERERERANFd2eVf7Ma0Brc13Q7ndLUdEsxcPaQ9NVyGKg+ArTUS8eeXXz0mX+kFMaNqZ2hPCJJem6FxYX7X9L9po+MhAABFVY7Kq12WOrtuOAUUVbbhLLaph4fpxIAY0B7GHf9Ko2YRwX6IjLQF1oNgzn1P4ZuIiIiIqKB4HLOKlepgJBhUkuc0fkcF1qAc8c6R8XbQ3ltaeeRZye+dnlRQXoOY0rbyHhbKJd5vfhP40JhCvJFpdXe7bpuAUBUkC/e/n83uE0lv+BwoqqhuSOES1+b3H4+WycF88o6Oyrr7Cg43XMd4f66i0K5L8xtI+amICmY+/qo+73/rnhk2rWHoZuIiIiIaCDoj7PKNVopPEemuF9vbgCqfnCZnt7WbFV9rBdP7pyeHpnisfXiapWAZTNT8MTGfAiAW/Buf7VlM1O6hE+NWgVTkB6mIH2Pz+10iqhuC+YdobzONaRLrcXhRHVDM6obmlFYZu3x+UINWkQF9jBi3vazn/bKYhaPTLs2MXQTEREREQ0EnjyrXOcPDBknNVcNVZ0j4pb2aerF0rnjva0Xd924zZjaL+vFp480IfOhsS6hUxJ1laFTpRJgDPSFMdAXY4Z2fx9RFFFja+kcIa9zHzGvtNpRbm2CvdWJGlsLamwtOFxR1+NrBvpq3NaURwXqu4ygB/i6zyT4sqiCR6Zdoxi6iYiIiIi8lX8E4D8ZiJ/cec3plHZSv3jjtt7WixuMXTduM17+evHpI024LSUKe45Z8NWuXEy7eYIs06sFQUCYvw5h/jqMjA7q9j6iKMLa1Nr9VPY66eeK2ibYWhyos19Anb0eJWfre3xNf52mc9p6gA5fHqrkkWnXKIZuIiIiIiLqpFIBIbFSc10v7miV1oufdRkRtxwCzv8I2CzACUs368Vj3TduM6YAYQndrxfPXgWo1FBPfhYT4kJxrljEhLhQKWTmrG2bft/LbAAPEwQBwX5aBPtpkWwK7PF+9fZWt6nr0rR213XmTaizX0BD8wUcszTgmKWhz9duPzLt79+exKyfRCPcXwthgBwLR31j6CYiIiIior6pfTqnlrtqbgCqSlw2b2sbHbdZpEB+/kf39eIqH2m9uOvGbcZkQFB1bhg3cWHn/V02mBsMAnx9EODrgxGRAT3ex9Z8QdrYrS2UZ/9wFv8urOzzuVf8uxgr/l2MIL0PEoz+SIjwl762tehgPVQcCR9wGLqJiIiIiOjK6fyBITdIzZWt2n0H9Y714vVt68cPud9fGwAERgPZK6E+lYsocSRUW3cA3/0D+Nniq1/XPoAYdBoMj/DH8AjpqLToYP0lhW5jgA5VDc2wNrXiQOl5HCg973a7r48Kw9uDuEsgjw0z8Dg0BTF0ExERERFR/zOEA3E/k1o7UZTWi5+9aFS8fb14i7QGWnV8ByZgR+fjvlkD5GYChgjpvHH/CGkdudv3bc1gBHx8Ze7s1bnUI9N2L74VrQ4njldJ09KPWxpwrO37k9U22FudOFReh0Pl7pu8aVQCYsL8uoyMD4/wh0HHSOhpfIeJiIiIiEgeggAEx0gtcXrndUcrcO54xw7q4q4/QhCd0iZiai3gaAGa66RWc7zv19EFDqqAfjlHpqlVaqSag5Bqdt/w7YLDiVM1jdI6cddQbmmArcWBE1U2nKiy4avDZ90eFx2sx/BupqqHGrQe7bM3YegmIiIiIiJlqX2k3c6NSUDOWgiiEw5BA7V4Abj5GWDC/0pnijdYgIaz3X9vq5J+HqQB/WqPTNOoVYiP8Ed8hD+muVwXRREVVnvHpm2ugfycrQVltU0oq23CN0eq3J4v1KBFQoS/FMhdmjnIl5u4XSaGbiIiIiIiGhjaNk1z/Ow5bKlPwS8CDkP99cvSCPnkZ4HwEb0/XhQBu3VwBvTsVZiuUuO2xYu6Hpm26xUg+8p2bxcEAeZgPczBevzsugi3287bWjpCuGsrq21Cja0FebYa5P1Y4/YYg1bdMTLuGshjQ/2gUV/9unGHU0TuyRocqBYQdrJGliPjPI2hm4iIiIiIlOeyS7lz4kJg61Y4b34GarW6c1fzvjZTEwRAHyy1wRbQVVI/1QAmTFzYeWTarlc8tnt7iEGL8YZQjB8W6na9seUCjltsOFZV7xbGS881wtbiwPdnrPj+jNXtMT5qAcPCDF3WjA+P8Ideq76ker4sqnAZ6VfjH0f3w3SJI/0DGUM3EREREREpz+mQguXkZ4HW1s7r7UHb6ejf1xuIAT1oqBS8S7YhASOg+tcXQNHHwP8skXX3dj+tBqOGBGHUEPd1460OJ0rP2dxHxqsacNxiQ1OrA0ctDTh60bnjggAMCdF3WTOeEBGAIL/O89q/LKrAExvzu2wkV2m144mN+ch8aOygDd4M3UREREREpLzepk4rfVyYXAG9jao8H6nIB8rbLvz3DeDodiAiuW3te7L0faBZqk0mPmoVEowBSDC6n0HudIootzbhqMvmbe2BvLaxFadrmnC6pgnZJe7rxsP9dUgwGhAfYcCWgxXd7twuQtpM7sUvDuO2lKhBOdWcoZuIiIiIiKi/9ENAF798HoLogAgBgkoDtDQAZQek5koXBEQkSkG8I5CnSNPYZQzjKpWAISF+GBLih1sSjS7dE3HO1uI2Mt5+3FmF1Y7qhmZUNzRj74maXp5dCt4VVjvyTtYgbXiYh3vT/xi6iYiIiIiIlNBdQM9ZC0F0uOze/jtg5C/bzjX/Aagqlr6eOwY0W4EzeVJz5RvcNhqe5P7VECFrGBcEAeH+OoT763BjvHtYbmi+0DEqvrWoAjuLLX0+n6Xe3ud9BiKGbiIiIiIiooGgu93bc1ZLm6xNfhZIdbnvhRYpeFcVA5a2VvUDUHMCsNcCp/ZIzZU+VBoJNya5BPJkwCD/6LG/ToMxQ4MxZmgwzMH6SwrdxgDlz1S/EgzdRERERERESrvc3ds1WiAyRWquWu3AuaMuo+Jt7fyPQFMNULpbaq4MEW0hPMV9qro+xKNdbvfTuFCYgnxRabV3u65bgHRe+U/jQru5deBj6CYiIiIiIlJaf+3e7uMLRI2SmquWRqD6iDQa3j4qbjkM1J6S1pTbqoAfd7k/xj/KJYS3tYhEwNd9V/OrpVYJWDYzBU9szIcAuAXv9snwy2amDMpN1ACGbiIiIiIiIuV5evd2rR9g/onUXDU3ANUl7uvFq34ArKeBhkqpnfja/TGB0V3Xi0ckAjr3Xc0vx/SRJmQ+NNblnG5JFM/pJiIiIiIiokFL5w9E3yA1V/Y6oKrEJYi3fa0vB+rKpHZ8p/tjgmIuWi+eJIVxraHvOrJXYbpKjdsWL8KeYxZ8tSsX026egLQEI9S7XgGyHb3/YmIAY+gmIiIiIiIid76BwNDxUnPVVHvRFPW2rw1nAespqR39yuUBAhAS27lOvP1r+HWAj77zbipp7boawISJC3GuWMSEuNC2wC2tdR+sGLqJiIiIiIjo0uiDgZgbpeaqsaZznXj7FHVLMdBYLW3idv5H4Mi2zvsLKiBkmLR5W/vI+PhHgeyVUDkcAFKg2vX/gW9Wd651H6QYuomIiIiIiOjq+IUCsROl5spW7T4qbimWpqo3nZeON6s5AfywxeUBAtTfrMYsCBAgDvrADTB0ExERERERkacYwoG4m6XWThSBBkvX9eKWYqDZCgAQIEJUaSAM8sANMHQTERERERGRnAQBCIiUWvz/dF4XRSBrKfDfN+GECirnBen88kEevBm6iYiIiIiISHnfvAL89004fvYcttSn4BcBh6HOXindNoiDN0M3ERERERERKStnbccu5c6JC4GtW+G8+Rmo1dKu5gAGbfBm6CYiIiIiIiJlOR2dm6a1tnZebw/aTocydfUDhm4iIiIiIiJS1i3P93zbIB3hbqdSugAiIiIiIiKiaxVDNxEREREREZGHMHQTEREREREReQhDNxEREREREZGHMHQTEREREREReQhDNxEREREREZGHMHQTEREREREReQhDNxEREREREZGHMHQTEREREREReQhDNxEREREREZGHMHQTEREREREReQhDNxEREREREZGHaJQuQG6iKAIA6urqFK6kd62trWhsbERdXR18fHyULkd23t5/gO8B+8/+e3P/Ab4H7D/77839B/gesP/s/2Dof3umbM+YPfG60F1fXw8AGDp0qMKVEBERERER0WBXX1+PoKCgHm8XxL5i+TXG6XSivLwcAQEBEARB6XJ6VFdXh6FDh+L06dMIDAxUuhzZeXv/Ab4H7D/77839B/gesP/svzf3H+B7wP6z/4Oh/6Ioor6+HmazGSpVzyu3vW6kW6VSYciQIUqXcckCAwMH9F80T/P2/gN8D9h/9t+b+w/wPWD/2X9v7j/A94D9Z/8Hev97G+Fux43UiIiIiIiIiDyEoZuIiIiIiIjIQxi6ByidTodly5ZBp9MpXYoivL3/AN8D9p/99+b+A3wP2H/235v7D/A9YP/Z/2up/163kRoRERERERGRXDjSTUREREREROQhDN1EREREREREHsLQTUREREREROQhDN0DzDfffIOZM2fCbDZDEAR89tlnSpckq1WrVmH8+PEICAiA0WjEXXfdhZKSEqXLkk1mZiZGjx7dcSZhWloatm3bpnRZilm9ejUEQcCCBQuULkU2y5cvhyAIbi0pKUnpsmRVVlaGhx56CGFhYdDr9Rg1ahT279+vdFmyGDZsWJc/f0EQkJGRoXRpsnA4HFi6dCni4uKg1+sxfPhwrFixAt60/Ux9fT0WLFiA2NhY6PV6TJw4Efv27VO6LI/p63OPKIr4wx/+AJPJBL1ej6lTp+Lo0aPKFOsBffX/008/xbRp0xAWFgZBEFBQUKBInZ7U23vQ2tqKxYsXY9SoUTAYDDCbzfjVr36F8vJy5QruZ339HVi+fDmSkpJgMBgQEhKCqVOnIjc3V5liPeByss/jjz8OQRDwpz/9Sbb6+gtD9wBjs9kwZswYvP3220qXooicnBxkZGRg7969yMrKQmtrK6ZNmwabzaZ0abIYMmQIVq9ejQMHDmD//v249dZbceedd+LQoUNKlya7ffv24S9/+QtGjx6tdCmyS01NRUVFRUfbvXu30iXJ5vz585g0aRJ8fHywbds2HD58GH/84x8REhKidGmy2Ldvn9uffVZWFgDgvvvuU7gyeaxZswaZmZl46623UFxcjDVr1mDt2rV48803lS5NNo8++iiysrLw3nvvobCwENOmTcPUqVNRVlamdGke0dfnnrVr1+KNN97AO++8g9zcXBgMBtx+++2w2+0yV+oZffXfZrPhpptuwpo1a2SuTD69vQeNjY3Iz8/H0qVLkZ+fj08//RQlJSWYNWuWApV6Rl9/B6677jq89dZbKCwsxO7duzFs2DBMmzYNVVVVMlfqGZeafTZv3oy9e/fCbDbLVFk/E2nAAiBu3rxZ6TIUZbFYRABiTk6O0qUoJiQkRPzrX/+qdBmyqq+vF0eMGCFmZWWJkydPFufPn690SbJZtmyZOGbMGKXLUMzixYvFm266SekyBoz58+eLw4cPF51Op9KlyOKOO+4Q582b53btl7/8pZienq5QRfJqbGwU1Wq1uGXLFrfrY8eOFV944QWFqpLPxZ97nE6nGBUVJb7yyisd12pra0WdTid+8MEHClToWb197jt58qQIQPzuu+9krUlul/LZNy8vTwQglpaWylOUjC6l/1arVQQg7tixQ56iZNRT/8+cOSNGR0eLRUVFYmxsrPjaa6/JXtvV4kg3DWhWqxUAEBoaqnAl8nM4HPjwww9hs9mQlpamdDmyysjIwB133IGpU6cqXYoijh49CrPZjPj4eKSnp+PUqVNKlySbzz//HOPGjcN9990Ho9GI66+/Hu+++67SZSmipaUFGzduxLx58yAIgtLlyGLixInYuXMnjhw5AgA4ePAgdu/ejRkzZihcmTwuXLgAh8MBX19ft+t6vd6rZry0O3nyJCorK93+XxAUFIQJEyZgz549ClZGSrJarRAEAcHBwUqXIruWlhasW7cOQUFBGDNmjNLlyMLpdGLOnDlYtGgRUlNTlS7nimmULoCoJ06nEwsWLMCkSZMwcuRIpcuRTWFhIdLS0mC32+Hv74/NmzcjJSVF6bJk8+GHHyI/P/+aXsPYmwkTJuDvf/87EhMTUVFRgRdffBE333wzioqKEBAQoHR5HnfixAlkZmbit7/9LZYsWYJ9+/bh6aefhlarxdy5c5UuT1afffYZamtr8fDDDytdimyee+451NXVISkpCWq1Gg6HAytXrkR6errSpckiICAAaWlpWLFiBZKTkxEZGYkPPvgAe/bsQUJCgtLlya6yshIAEBkZ6XY9MjKy4zbyLna7HYsXL8aDDz6IwMBApcuRzZYtW/DAAw+gsbERJpMJWVlZCA8PV7osWaxZswYajQZPP/200qVcFYZuGrAyMjJQVFTkdb/dT0xMREFBAaxWKz755BPMnTsXOTk5XhG8T58+jfnz5yMrK6vLSI+3cB3RGz16NCZMmIDY2Fh89NFH+PWvf61gZfJwOp0YN24cXn75ZQDA9ddfj6KiIrzzzjteF7rXr1+PGTNmDN71a1fgo48+wvvvv49NmzYhNTUVBQUFWLBgAcxms9f8+b/33nuYN28eoqOjoVarMXbsWDz44IM4cOCA0qURKaq1tRWzZ8+GKIrIzMxUuhxZ3XLLLSgoKEB1dTXeffddzJ49G7m5uTAajUqX5lEHDhzA66+/jvz8/EE/44vTy2lAevLJJ7FlyxZkZ2djyJAhSpcjK61Wi4SEBNxwww1YtWoVxowZg9dff13psmRx4MABWCwWjB07FhqNBhqNBjk5OXjjjTeg0WjgcDiULlF2wcHBuO6663Ds2DGlS5GFyWTq8gum5ORkr5piDwClpaXYsWMHHn30UaVLkdWiRYvw3HPP4YEHHsCoUaMwZ84cLFy4EKtWrVK6NNkMHz4cOTk5aGhowOnTp5GXl4fW1lbEx8crXZrsoqKiAABnz551u3727NmO28g7tAfu0tJSZGVledUoNwAYDAYkJCTgxhtvxPr166HRaLB+/Xqly/K4Xbt2wWKxICYmpuNzYWlpKX73u99h2LBhSpd3WRi6aUARRRFPPvkkNm/ejP/85z+Ii4tTuiTFOZ1ONDc3K12GLKZMmYLCwkIUFBR0tHHjxiE9PR0FBQVQq9VKlyi7hoYGHD9+HCaTSelSZDFp0qQuxwQeOXIEsbGxClWkjA0bNsBoNOKOO+5QuhRZNTY2QqVy/2iiVqvhdDoVqkg5BoMBJpMJ58+fx/bt23HnnXcqXZLs4uLiEBUVhZ07d3Zcq6urQ25urtftdeLN2gP30aNHsWPHDoSFhSldkuK85bPhnDlz8P3337t9LjSbzVi0aBG2b9+udHmXhdPLB5iGhga3Ea2TJ0+ioKAAoaGhiImJUbAyeWRkZGDTpk3417/+hYCAgI41W0FBQdDr9QpX53nPP/88ZsyYgZiYGNTX12PTpk34+uuvB91/WK5UQEBAl/X7BoMBYWFhXrOu/5lnnsHMmTMRGxuL8vJyLFu2DGq1Gg8++KDSpcli4cKFmDhxIl5++WXMnj0beXl5WLduHdatW6d0abJxOp3YsGED5s6dC43Gu/43PXPmTKxcuRIxMTFITU3Fd999h1dffRXz5s1TujTZbN++HaIoIjExEceOHcOiRYuQlJSERx55ROnSPKKvzz0LFizASy+9hBEjRiAuLg5Lly6F2WzGXXfdpVzR/aiv/tfU1ODUqVMd51K3/1IyKirqmhnt7+09MJlMuPfee5Gfn48tW7bA4XB0fDYMDQ2FVqtVqux+01v/w8LCsHLlSsyaNQsmkwnV1dV4++23UVZWds0cJdnXv4GLf8ni4+ODqKgoJCYmyl3q1VF493S6SHZ2tgigS5s7d67Spcmiu74DEDds2KB0abKYN2+eGBsbK2q1WjEiIkKcMmWK+NVXXyldlqK87ciw+++/XzSZTKJWqxWjo6PF+++/Xzx27JjSZcnqiy++EEeOHCnqdDoxKSlJXLdundIlyWr79u0iALGkpETpUmRXV1cnzp8/X4yJiRF9fX3F+Ph48YUXXhCbm5uVLk02//znP8X4+HhRq9WKUVFRYkZGhlhbW6t0WR7T1+cep9MpLl26VIyMjBR1Op04ZcqUa+rfRl/937BhQ7e3L1u2TNG6+1Nv70H7UWndtezsbKVL7xe99b+pqUm8++67RbPZLGq1WtFkMomzZs0S8/LylC6731xu9hmsR4YJoiiK/R/liYiIiIiIiIhruomIiIiIiIg8hKGbiIiIiIiIyEMYuomIiIiIiIg8hKGbiIiIiIiIyEMYuomIiIiIiIg8hKGbiIiIiIiIyEMYuomIiIiIiIg8hKGbiIiIiIiIyEMYuomIiKjfCIKAzz77TOkyiIiIBgyGbiIiomvEww8/DEEQurTp06crXRoREZHX0ihdABEREfWf6dOnY8OGDW7XdDqdQtUQERERR7qJiIiuITqdDlFRUW4tJCQEgDT1OzMzEzNmzIBer0d8fDw++eQTt8cXFhbi1ltvhV6vR1hYGB577DE0NDS43edvf/sbUlNTodPpYDKZ8OSTT7rdXl1djbvvvht+fn4YMWIEPv/8c892moiIaABj6CYiIvIiS5cuxT333IODBw8iPT0dDzzwAIqLiwEANpsNt99+O0JCQrBv3z58/PHH2LFjh1uozszMREZGBh577DEUFhbi888/R0JCgttrvPjii5g9eza+//57/PznP0d6ejpqampk7ScREdFAIYiiKCpdBBEREV29hx9+GBs3boSvr6/b9SVLlmDJkiUQBAGPP/44MjMzO2678cYbMXbsWPz5z3/Gu+++i8WLF+P06dMwGAwAgK1bt2LmzJkoLy9HZGQkoqOj8cgjj+Cll17qtgZBEPD73/8eK1asACAFeX9/f2zbto1ry4mIyCtxTTcREdE15JZbbnEL1QAQGhra8X1aWprbbWlpaSgoKAAAFBcXY8yYMR2BGwAmTZoEp9OJkpISCIKA8vJyTJkypdcaRo8e3fG9wWBAYGAgLBbLlXaJiIhoUGPoJiIiuoYYDIYu0737i16vv6T7+fj4uP0sCAKcTqcnSiIiIhrwuKabiIjIi+zdu7fLz8nJyQCA5ORkHDx4EDabreP2b7/9FiqVComJiQgICMCwYcOwc+dOWWsmIiIazDjSTUREdA1pbm5GZWWl2zWNRoPw8HAAwMcff4xx48bhpptuwvvvv4+8vDysX78eAJCeno5ly5Zh7ty5WL58OaqqqvDUU09hzpw5iIyMBAAsX74cjz/+OIxGI2bMmIH6+np8++23eOqpp+TtKBER0SDB0E1ERHQN+fLLL2EymdyuJSYm4ocffgAg7Sz+4Ycf4je/+Q1MJhM++OADpKSkAAD8/Pywfft2zJ8/H+PHj4efnx/uuecevPrqqx3PNXfuXNjtdrz22mt45plnEB4ejnvvvVe+DhIREQ0y3L2ciIjISwiCgM2bN+Ouu+5SuhQiIiKvwTXdRERERERERB7C0E1ERERERETkIVzTTURE5CW4ooyIiEh+HOkmIiIiIiIi8hCGbiIiIiIiIiIPYegmIiIiIiIi8hCGbiIiIiIiIiIPYegmIiIiIiIi8hCGbiIiIiIiIiIPYegmIiIiIiIi8hCGbiIiIiIiIiIPYegmIiIiIiIi8pD/A+wPosSTD5gPAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 数据加载\n",
    "data = {\n",
    "    'epoch': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14],\n",
    "    'Train': [1.7692, 1.5832, 1.526, 1.4829, 1.4632, 1.4524, 1.4334, 1.42, 1.4115, 1.3914, 1.3874, 1.372, 1.3638, 1.3518],\n",
    "    'Dev': [1.6265, 1.5379, 1.4997, 1.4661, 1.4502, 1.4528, 1.4142, 1.4246, 1.397, 1.3829, 1.3736, 1.3606, 1.3538, 1.3412]\n",
    "}\n",
    "\n",
    "# 创建图表\n",
    "plt.figure(figsize=(10, 5))  # 设置图表大小\n",
    "\n",
    "# 绘制训练损失曲线\n",
    "plt.plot(data['epoch'], data['Train'], label='Train Loss', marker='o')\n",
    "\n",
    "# 绘制验证损失曲线\n",
    "plt.plot(data['epoch'], data['Dev'], label='Dev Loss', marker='x')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 添加标题和轴标签\n",
    "plt.title('Loss over Epochs')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "\n",
    "# 优化x轴的刻度标签，使其水平显示\n",
    "plt.xticks(data['epoch'])\n",
    "\n",
    "# 显示网格\n",
    "plt.grid(True)\n",
    "\n",
    "# 显示图表\n",
    "plt.tight_layout()  # 调整布局以适应标签\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f1974bb-7c3d-45d4-aa6c-c726fcb0a131",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
